Durlston Partners

A well-established quantitative trading firm is hiring a Java Software Engineer to join the team responsible for their proprietary trading and execution platform. The firm operates across algorithmic execution and systematic investing, serving institutional clients globally. This is a hands-on engineering role at the heart of a live, high-stakes trading system, with real ownership from day one. This position is onsite, in their London office.

What you’ll do:

• Own and deliver the roadmap for the firm’s core trading and execution platform
• Work directly with execution brokers to improve algorithmic performance, incorporating research feedback and coordinating A/B testing
• Onboard new execution brokers and implement approved execution enhancements
• Build, maintain, and improve Transaction Cost Analysis (TCA) reporting
• Contribute to the architectural evolution of the platform alongside a senior engineering team
• Participate in the production support rota

You’ll need:

• 4+ years of software development experience, with strong Java skills
• Prior experience in execution systems at a bank, hedge fund, or financial services firm
• Exposure to equities trading or related markets
• Degree in a STEM discipline

Bonus:

• Python experience

If you haven’t heard back within 3 days, your application was unfortunately unsuccessful.

A technology-first algorithmic market maker operating at the cutting edge of digital asset liquidity, precision-driven, high-growth, and conviction-led on where financial markets are heading.

Flat, fast, and output-driven. Engineers own real problems from day one, work directly with leadership, and are judged entirely on what they deliver.

What you’ll do:

• Own and build components within a high-throughput, globally distributed trading system
• Develop real-time execution pipelines, exchange integrations, and market data infrastructure in C++ and Python on Linux
• Learn from engineers and traders who built the system, with real autonomy and real accountability from the start

What you’ll bring:

• Production-grade C++ with genuine low-level understanding, this will be tested
• Strong analytical thinking across complex, high-stakes system behaviour
• Solid grasp of network internals, CPU and memory architecture, assembly a bonus

Strong academic background and hunger to learn valued as much as experience. If you haven’t heard back within 3 days, your application was unfortunately unsuccessful.

Salary negotiable for the right profile.

The Opportunity

A well-capitalised proprietary trading firm operating at the forefront of electronic markets is looking for a talented C++ Software Engineer to join their London engineering team. The business is highly profitable, technically driven, and operates across multiple asset classes with a focus on low latency execution and systematic strategies.

This is a hands on engineering role embedded within a high performing team. You will work directly on core trading infrastructure building, optimising, and owning systems that operate in production at speed and scale. Engineers here are given real ownership from day one.

The Role:

• Design, build, and maintain high-performance C++ systems within a latency sensitive trading environment
• Contribute to the full software lifecycle from architecture and development through to deployment and optimisation
• Collaborate closely with quantitative researchers and traders to implement and improve execution and signal infrastructure
• Profile and optimise existing systems for throughput, latency, and reliability
• Participate in code reviews and contribute to a culture of engineering excellence

Requirements:

• 2+ years of professional C++ development experience in a performance critical environment
• Degree in Computer Science, Mathematics, Physics, or a related technical discipline from a top tier university
• Strong grasp of systems programming concepts memory management, concurrency, networking, and low level optimisation
• Ability to write clean, efficient, and well tested code under real world production constraints
• Comfortable working in a fast-paced, collaborative environment where standards are high and ownership is genuine

What’s on Offer:

• Highly competitive base salary and performance-linked bonus
• Direct exposure to cutting-edge trading technology and a team of exceptional engineers
• Meritocratic culture your work is visible, your impact is real
• Central London office with a collaborative, non hierarchical working environment

Quantitative Researcher – Options, Futures & Equities | New York, London, Singapore, Shanghai, UAE

Not every research seat is created equal. This one stands out.

A leading, technology driven trading firm is looking to hire experienced Quantitative Researchers across Options, Futures and Equities (D1), into an environment where researchers own problems end to end and work directly alongside traders. This is not a support function. Research here has a direct line to live trading and genuine commercial impact.

The role spans strategy development across pricing, modelling, forecasting and execution, working with large internal and external datasets in a computationally intensive setting. The feedback loop is short, the problems are hard, and the people around you are among the best in the market.

What makes this particularly interesting is the breadth of backgrounds being considered. Researchers coming from options volatility, delta one equities or futures trading are all in scope, and the firm has the depth and infrastructure to support researchers who want to grow into new areas.

Locations span New York, London, Singapore, Shanghai and the UAE, giving candidates a degree of flexibility that is increasingly rare at firms of this calibre.

Compensation is highly competitive, reflecting experience, track record and performance through the process.

You will have:

• 3+ years of experience in quantitative research or systematic trading within Options, Futures or Delta One Equities
• A strong track record on a high performing or market-leading trading desk
• Deep grounding in mathematical, statistical and data-driven modelling
• Hands-on experience taking research into production
• Strong programming skills in Python and/or C++

Reach out confidentially at [email protected]. All shortlisted candidates will hear back within five days.

Trader | Singapore

Not every trading seat is created equal. This one stands out.

An established proprietary trading firm is looking to hire a Trader into a Singapore office that has grown into a serious, multi desk operation, and is still at a stage where the right hire shapes how things develop. That window does not stay open forever. The role sits within an options market making team focused on commodity derivatives across key Asian markets.

What makes this particularly interesting is the flexibility on background. The firm is not mandating direct commodities experience. Strong options traders coming from rates vol or other derivatives markets are very much in scope, and the team has the depth to support the transition.

Singapore is a compelling base in its own right, and a desk at this stage of growth offers a level of influence that is increasingly hard to find elsewhere in the market.

Compensation is highly competitive, reflecting experience, track record, and performance through the process.

You will have:

• Meaningful options trading experience in a market-making or quantitative environment
• Strong grounding in volatility modelling
• A degree in a quantitative discipline

Reach out confidentially at [email protected]. All shortlisted candidates will hear back within 5 days.

Quantitative Vol Trader | London or New York

This is a rare chance to join one of the most ambitious volatility trading teams in the industry, at a firm that has consistently punched above its weight and shows no signs of slowing down.

The team operates across the full derivatives landscape, with strategies spanning equities, commodities, and fixed income. What sets this firm apart is the quality of the people and the culture they have built around them: highly collaborative, deeply rigorous, and genuinely invested in the development of every person who joins. You will not be siloed. From day one, you are working alongside some of the sharpest minds in volatility, learning how world-class strategies are constructed, stress-tested, and scaled.

Quant Trader’s here grow quickly. Early responsibilities span system monitoring and trade execution support, but the trajectory is clear: a comprehensive understanding of how the firm’s full range of volatility strategies are developed and continuously optimised. Senior mentorship is a real commitment, not a footnote.

The firm is growing fast and hiring across multiple seats. If you have been looking for the right environment to accelerate your development as a volatility trader, this is it.

You will have:

• 1 to 3+ years of experience trading derivatives or building options trading systems
• A degree in a quantitative discipline (Mathematics, Physics, Computer Science, Engineering, or similar)
• Strong Python skills and sharp mental arithmetic

Base compensation in New York runs from up to $250,000+, with a guaranteed first-year bonus and a highly competitive package thereafter.

Reach out for a confidential conversation at [email protected]. All shortlisted candidates will hear back within 5 days.

Quantitative Developer – Systematic Hedge Fund – London – ~£150,000 base + bonus

There are many quant developer roles, and then there are the ones where you can point to something and say: I built that.

This is one of the most respected names in systematic investment management – a firm that has consistently operated at the leading edge of quantitative research. Developers sit inside the research process, work directly with portfolio managers, and are trusted to take real ownership of what they build.

The Commodities team is led by a Portfolio Manager and senior quant researcher who have worked together for several years. That kind of continuity is rare, and it shows in how the team operates – collaborative, focused, and clear on where it is going. They are live and systematic in markets today, with active plans to diversify into additional commodity sectors. This hire is the priority before that expansion accelerates, which means you are arriving at exactly the right moment: early enough to shape the infrastructure, senior enough to own it.

The team sits within the firm’s centralised research function, not a closed pod, not a siloed platform. Weekly developer sessions across the broader quant group mean you will be working alongside peers from across the business.

Why this role stands out

Working for a firm of this calibre carries real weight in conversations, in interviews, and on a CV. Beyond the name, you would be joining a stable environment where people tend to stay, taking on standalone ownership of a strategy that is actively scaling, and doing so with direct access to the people making the decisions. 

What you’ll be doing

You will be the sole developer supporting the strategy’s buildout – designing and implementing trading systems and data infrastructure that take research from concept to live trading. That means building and deploying robust data pipelines, optimising the path from research into production, and working closely with the Portfolio Manager to develop frameworks for data validation and monitoring. This is a hands-on role with real accountability from day one.

What they’re looking for

Five to ten years of commercial development experience, with Python as your primary language and solid hands-on experience building and deploying data pipelines. A systematic or buy-side background is strongly preferred. Commodities experience is not required, but strong financial markets knowledge across other asset classes is essential.

Statistical understanding matters. The interview process includes stats-based questions — the team wants developers who can sense-check what a strategy is actually doing, not just implement it. 

To apply or find out more: [email protected]

If this isn’t quite right for you but you know someone it could be, we run a generous referral scheme for successful introductions.

Systems Engineer – Fintech – Remote – £90,000–£130,000 + Equity

F1 drivers used to talk about “mechanical sympathy” – the idea that the best drivers didn’t just push the machine, they understood it. Martin Thompson, co-founder and CTO of LMAX, applied that same principle to software. Out of it came the Disruptor, a concurrent programming framework that achieved extraordinary performance not through magic, but through understanding how hardware actually behaves: CPU caches, memory layout, the way a processor wants to move through data. Code written with the machine, not against it.

The Head of Engineering you’d be reporting into spent 20 years working at the systems level on the buy-side in London, in some of the most demanding environments going. He knows what mechanical sympathy looks like under real pressure. He’s now applying those same standards to a fintech company tackling a genuinely large, unsolved problem in cross-border payments and building a team around that philosophy.

The team big enough for a significant funding round, small enough to get to know everyone personally. Low-ego, highly capable, and several have made a deliberate move from hedge fund and HFT backgrounds to work on something with real social impact. The stack is Go, top to bottom.

The role

A hybrid of systems and backend engineering — you’ll write production Go, own your systems end-to-end, and work in an environment where observability isn’t an afterthought. Infrastructure, code, and business metrics flow through a unified pipeline.

• Top-of-market base with meaningful equity upside at an early stage
• Fully remote within two hours of London
• First-principles thinking actively taught and encouraged, not just expected
• Full health, dental, and vision insurance for you and your dependents
• Large contribution to home office setup
• Unlimited paid time off, parental leave, and periodic team meetups across Europe

What you’ll be doing

• Building and owning the infrastructure that runs the production payments platform
• Writing production Go — this is an engineering role, not a scripting role
• Performance tuning and reliability engineering — treating failure as an inevitability, not an edge case
• Instrumenting the stack with logs, traces, and metrics through a unified observability pipeline
• Security analysis across network, OS, and code layers
• Participating in on-call rotas to support the platform operationally

What you’ll bring

• 5+ years in systems engineering, SRE, or a closely related discipline
• Production-level Go, written to a standard a senior backend engineer would respect
• Strong mechanical sympathy — able to reason from first principles about what happens close to the metal
• Solid Kubernetes and OS internals: user/kernel separation, system calls, and beyond
• Host-level networking — TCP/IP, iptables, CNI
• Infrastructure as code with Terraform or equivalent
• Observability instincts — knowing when to reach for logs, traces, or metrics and how to unify them
• Relational database experience is a strong plus

We recognise that individuals are not just checkboxes. If you’re intrigued by this opportunity but unsure if it’s the right fit, feel free to reach out — [email protected]

If this role isn’t right for you but you know someone who’d be a great fit, we have a market-leading referral scheme in place to thank anyone who refers a candidate who successfully passes probation.

AI Researcher – Prop Trading – UAE – $200,000-$250,000 USD base + Bonus

There are very few roles in the world where you can apply state-of-the-art AI research such as LLMs, transformers, deep neural networks to live financial markets, with access to serious compute infrastructure and a team assembled from some of the best minds in both fields. This is one of them.

A globally recognised name, the UAE office is a central part of the research expansion — small today, growing quickly, and already home to senior researchers, quant leads, and strategy leadership.

The team publishes. Researchers here have been widely cited in top-tier peer-reviewed journals, and the culture is collaborative. AI and trading expertise are shared openly across the team rather than siloed. If you want to do real research that also has commercial impact, this is a rare setup.

Why you’d want this role

• One of the few environments where foundational model research directly feeds live trading systems
• Access to dedicated compute infrastructure
• A culture built around publishing – the firm actively supports and values research contributions to the broader scientific community
• Flat structure with direct exposure to leadership from day one
• Work alongside researchers and engineers recruited from the very top of the field globally

Why Abu Dhabi

• Consistently ranked among the safest and most liveable cities in the world
• One of the fastest-growing hubs for buy-side finance and AI in the region 
• Significant tax advantages over London, New York, or Singapore
• The most sought-after neighbourhoods are a 10–20 minute drive from the office — no tube strikes, no packed commutes, and a cab is around £8 each way
• Year-round sunshine and world-class infrastructure

What you’ll be doing

• Researching and developing novel AI-driven quantitative trading strategies, applying the latest advances in LLMs, transformers, and deep neural networks to real market problems
• Exploring large volumes of market and alternative data to discover and capitalise on new trading opportunities
• Inventing and applying next-generation methods in prompt engineering, signal processing, and time-series analysis
• Contributing to a research culture where your findings may be published and recognised beyond the firm

What you’ll bring

• A Master’s or PhD in a quantitative discipline: Computer Science, Applied Mathematics, Statistics, Physics, Quantitative Finance, or similar
• Deep, practical knowledge of large language models and deep neural networks, applied to real problems in NLP, vision, signal processing, or related domains
• Strong experience analysing large datasets using rigorous ML and statistical methods – classification, regression, time-series analysis, Bayesian methods, neural networks, and more
• Proficiency in Python and relevant ML frameworks such as PyTorch or TensorFlow; C++ experience a plus
• A track record of generating impactful research, whether in academia or industry
• Curiosity about financial markets – prior finance experience is not required, just the appetite to learn

We recognise that great researchers don’t always fit neatly into a checklist. If this sounds like the kind of work you want to be doing, reach out directly — even if you’re unsure whether you’re the right fit. [email protected]

If this role isn’t right for you but you know someone who’d be a great fit, we have a market-leading referral scheme in place to thank anyone who refers a candidate who successfully passes probation.

AI Engineer – Prop Trading – UAE – Up to $250,000 USD total 

Opportunities to do genuinely frontier AI research at a prop trading firm in the UAE are rare. Most firms with real research ambition keep their ML teams in New York, London, or Singapore. This is one of the few exceptions, and the pedigree behind it is exceptional.

The UAE is a central part of their future. The office is growing quickly and is already home to senior AI researchers, quant leads, and strategy leadership. The team is small by design with a clear and funded plan to scale significantly. The people joining now will shape the culture, the tooling, and the direction of the research programme. Alongside this, the firm has secured compute resources allowing them to do large-scale foundational model work.

Why you’d want this role

• A rare opportunity to do frontier AI research within a live trading business, where your models feed real systems
• Flat structure with direct exposure to senior leadership from day one
• Access to serious compute infrastructure 
• Work across the full model lifecycle — training, evaluation, in-depth analysis, and innovation
• A team assembled from some of the best minds in HFT and AI globally

Why Abu Dhabi

• Consistently ranked among the safest and most liveable cities in the world
• One of the fastest-growing hubs for buy-side finance and AI in the region
• Significant tax advantages over London, New York, or Singapore
• The most sought-after neighbourhoods are a 10–20 minute drive from the office — no packed commutes, no tube strikes, and a cab is around £8 each way
• Year-round sunshine and world-class infrastructure

What you’ll be doing

• Designing and building frameworks that underpin the firm’s next-generation ML platforms and trading systems
• Ensuring compatibility with modern cloud infrastructure, leading ML libraries, and state-of-the-art model architectures
• Running large-scale training experiments and contributing to rigorous, in-depth model evaluation and analysis
• Working closely with researchers and engineers across multiple offices on foundational model research spanning language, vision, multimodal, and structured data

What you’ll bring

• Proven, hands-on experience with large foundational models — training, evaluation, and analysis
• Advanced Python development in a Linux environment
• Strong grounding in deep learning, generative AI, and modern model architectures
• Direct experience with multi-GPU training at scale
• A track record building high-performance software with demonstrable results
• Familiarity with parallel computing frameworks and performance optimisation
• Intellectual curiosity, a bias toward open-source tooling, and genuine interest in applying ML to trading and research problems
• A team-first mentality and the kind of work ethic that thrives in a high-trust, high-output environment

We recognise that great engineers don’t always fit neatly into a checklist. If this sounds like the kind of work you want to be doing, reach out directly, even if you’re unsure whether you’re the right fit. [email protected]

If this role isn’t right for you but you know someone who’d be a great fit, we have a market-leading referral scheme in place to thank anyone who refers to a candidate who successfully passes probation. 

Durlston Partners are working closely with a top HFT firm who are building a greenfield AI Labs across New York & Shanghai, inspired by HRT’s AI Labs. They’re targeting senior researchers with both quant and ML/DL depth.

Key details:

• Apply frontier deep-learning research to financial time series forecasting, end-to-end
• Build alongside a small team of strong ML researchers
• Real influence over how the team and business get built (with 7-figure comp to match)

Who you are:

• 2+ years in high-to-mid frequency research, ideally on the buy-side
• 2+ years of machine learning or deep learning research/engineering, whether in finance or tech
• Multiple publications in top-tier journals and conferences (e.g., IEEE, NeurIPS), ideally with over 1,000 citations
• Excellent communication skills

Whether or not you’re actively looking, this is the kind of seat that comes up once in a blue moon: pure ML research in finance, without politics or infra drag. If you’ve been waiting to work on greenfield research at significant scale, this could be a great fit.

We’re working with a global multi-strat fund with one of the strongest reputations on the street, known for top-tier talent, strong infrastructure, and a genuinely collaborative setup.

They’re currently hiring for a newer pod, led by a proven PM who’s just come off a 24-month non-compete and is now looking to build out the team.

What you’ll be doing:

• Research in the high- to mid-frequency space across cash equities
• Work across the full pipeline: feature engineering → signal generation → modelling → implementation
• Collaborate closely within a lean, high-performing team, all working towards the same goal (generating PnL in case it wasn’t clear)

Who you are:

• MS or PhD in a STEM discipline, preferably in applied mathematics/statistics
• 2+ years in systematic alpha research, ideally with high-frequency data
• Good understanding of market microstructure
• Machine learning experience is a plus
• Proficiency in Python is a must. Exposure to C++ is nice to have

Overall, this is a great opportunity for someone who enjoys building from scratch and wants to make an immediate impact. If you’d like to learn more, don’t hesitate to click apply!

Who?

Working with a leading trading technology company operating an ultra-low-latency algorithmic trading engine for institutional participants in the digital asset space. They’ve built something genuinely impressive — now they need the right person to own and scale it.

Why?

First CTO hire. Until now, technical leadership has been spread across the broader team, that’s no longer sustainable. They’ve made a deliberate decision: one strong technical leader, full authority, full accountability. The opportunity is to come in as the most senior technical person in the company and build from a position of real power.

What?

This is not a management role. Expect to be ~90% hands-on (writing code, owning the architecture, leading on security, and driving the product roadmap in lockstep with the CEO). You’ll lead a small, senior team as a playing coach. They don’t need managing. They need a technical peer who leads from the front.

• Own the full technology vision, platform architecture, and engineering standards
• Hands-on development, writing code, reviewing PRs, debugging production, shipping features
• Drive the product roadmap with the CEO, own prioritisation and trade-offs
• Take full ownership of information security posture and regulatory compliance
• Tech environment spans backend development, cloud infrastructure (Kubernetes, Terraform), CI/CD, DevSecOps, and enterprise security (IAM, OAuth 2.0, OIDC). Fintech or digital asset background is a strong plus (but attitude and depth matter most).

Where?

London office. 4 days onsite. Flat structure, direct line to the CEO, no layers between you and the decisions that matter.

Head of AI – London 

We’re working with a well capitalised business in London that is looking for someone to lead the charge in building one of the most advanced AI systems on the planet. Think frontier LLMs. Think agentic systems. Think world models that actually understand stuff. You’ll be the architect of their AI strategy, the builder of their dream team, and the person who turns “what if” into “what’s next.”

What You’ll Actually Do:

Lead the Geeks (and Geniuses)

• Scale and inspire our AI org across research, engineering, safety, and product.

• Hire brilliant humans (and help them stay brilliant).

• Keep us lean, mean, and computationally efficient.

Own the Model

• Define and deliver the roadmap to a frontier LLM.

• Make the big calls on architecture, training, data, and scale.

• Ensure we’re not just keeping up—but setting the pace.

Dream in AGI

• Push beyond next-token prediction into world models, agents, and systems that can plan, simulate, and interact.

• Help us build the bridge from LLMs to general intelligence.

Build the Platform

• Oversee the creation of an AI platform that actually works in the real world.

• Make it safe, scalable, and ready for enterprise workflows.

Be the Grown-Up in the Room (When Needed)

• Set safety standards and release protocols.

• Navigate regulation without losing your sense of adventure.

• Be the face of our AI work to investors, partners, and the world.

If this sounds like the type of role that could leverage your track record of leading teams that’ve built large models or complex AI platforms before, please apply to the link provided!

Python Developer – Algorithmic Trading – London

Let’s limit the corporate waffle here; our client is not building another to-do list app or the next social media (translation: advertising) giant. It’s an elite algorithmic trading firm in London which is hiring a Python Developer to build, maintain and optimise systems that sit at the very heart of their business.

These systems to do not support the business, they are the business. Imagine building systems which handle millions of events everday, perform calculations in real time and touch every part of the company. Should you get dopamine hits from designing systems with maximum up time, this is likely a good fit.

A day in the life?

• Design and implement core systesms which operate as the traffic control to an algorithmic trading operation
• Profile, optimise and ruthlessy refactor Python code
• Glue together the high performance C++ execution later with the core systems
• Designing the system to be as observable as possible by implementing monitoring, logging and alerting features

Who you’re likely to be?

• A proud Computer Scientist with history of designing reliable, high-performance systems
• You know why __slots__ exist and when to use a deque versus a list
• You have a strong understanding of operating systems, memory management and how the kernel schedules threads
• Someone who knows that “perfect” can sometimes be the enemy of “done”

Keen to build systems that sit at the coal-face of 24/7 trading? Please apply to the link attached!

Trading System Developer – London – Up to £200k + Bonus + Equity

Who? Working with a Global Prop Shop that has worked in traditional financial markets since the early 90s. They have diversified and branched out in the last decade, becoming one of the largest traders in emerging markets, such as Digital Assets.

Why? The firm in question is looking to create a brand-new trading team that is looking to create a mission-critical, high-performance trading system from scratch. This will involve algorithmic development, trading system development, and low-latency coding.

What? Greenfield trading system buildout using Python (along with newer tech such as Go & Rust). Along with creating solutions for platform connectivity and monitoring systems. Flat structure, allowing for collaboration with traders, researchers, and software engineers within the small group, as well as elsewhere within the larger organization.

Where? This firm has 10 worldwide offices, including one in London. This role also offers remote working flexibility, full-time.

How much? I quote “Pockets are wide open”. Expect a base of up to £300k + bonus + equity.

We are working with a scientifically-driven asset management firm, researching and developing state-of-the-art scientific investment processes.

These apply to investors, both as an alternative and a complement to the traditional discretionary bond markets.

They’re a well-established, but fairly early-stage (less than 200 employees) trading firm based in London, dedicated to becoming a leading figure.

Looking for a Principal Engineer, need a “go to person” for Finance & Tech questions. This will be a nice mixture of leadership/hands-on responsibilities within their Engineering function, contributing to a broad range of front-office and systems-based projects.

Tech: Python (and Rust, prior experience not mandatory, but willingness to learn).

Compensation package north of £180k base, with equity from day one and a bonus on top.

They have one of the best cultures in the industry including lots of flexibility and an office that people choose to go to. Given their relatively early stage, they’re massive on ownership and offer you the ability to set the standards for the engineering teams.

Ever built something from scratch and seen it become the fastest thing in the market?

A London based trading tech firm is hiring C++ engineers to help build what they (and their clients) genuinely believe is the most advanced trading engine in crypto.

It’s low latency, ML integrated, and already live with some of the biggest institutional players in the space. No legacy, no noise, no middle layers, just a small team of serious engineers moving fast.

You’ll be solving real problems like:

• High-frequency execution across CeFi and DeFi
• TCA at microsecond resolution
• Smart routing, net settlement, and soon, crypto options (basically untouched territory)

You’ll be working side by side with someone who:

• Started coding at 5 years old
• Built the algo behind 75% of global derivatives flow at a top 3 bank ($100m P&L in 4 years)
• Got personally commended for his C++ by the founder of the language

4 days in, up to £200k base, 3 stage process.

If you get a kick out of shaving micros/nanos off a system and want to build something with zero compromises, apply.

Now, you may think we’ve been somewhat sneaky in gaining your attention by using this job title for responsibilities outside of actually running a portfolio… bear with me.

We’ve been working with an extraordinarily talented systematic research firm in the UAE which is looking to further scale their data research capacity. What’s interesting here though, is that they’re looking at hiring people who have previously built (and run) systematic trading strategies from scratch.

Why?

• You’ll have run the full research‑to‑production pipeline: idea generation, data acquisition, model design, backtesting, deployment, and monitoring, which is exactly what their data research lead needs to orchestrate for others.
• You know what it’s like to live with data issues in live portfolios (latency, survivorship bias, corporate actions, data revisions), so you’ll be well placed to set high standards for data quality, documentation, and tooling.
• You’ve owned PnL, so know first hand which data and research efforts actually move the needle in terms of Sharpe, drawdown, capacity, and transaction costs, so they can prioritize projects with real alpha or risk‑reduction impact.

So what do they need? Well, in this instance it’s broad but very specific.

• Have you previously built, run and improved profitable systematic trading strategies from scratch before?

If yes, I would love to hear from you.

It’s worth noting that this opportunity requires full-time relocation to the UAE with full benefits (incl. family) provided.

We may have a home for you in Shanghai at a globally renowned trading firm. They’re on the hunt for an Options Trader (Vol Whisperer), so if you see the world in probabilistic shades of Greeks, this may be for you.

This is for a brand new trading desk, so you can expect your impact on PnL to be seen, felt and heard… providing one of your colleagues is happy to shout about how great you are.

What will this look like?

• Automating liquidity provision for Options
• Directing Delta, Theta, Gamma and Vega as if they’re an orchestra, playing in harmony to make you (and the company) money
• Spotting hidden patterns and having the freedom to act on your convictions with discretionary trading

What do they need from you?

• An obsessive understanding of Options
• Proven experience market-making in options (equity, index, FX, rates)
• A strong understanding of quant trading models, balanced with gut-feel intuition
• Business fluency of Mandarin

What they can give you?

• Greenfield work; this is not a backfill, you will be building from the ground up
• Freedom to take risks with capital. No risk no reward.
• Full relocation expenses and services covered to relocate to Shanghai
• A friendly team of weirdos who get excited about skew and convexity

Software Engineer – HFT – Remote – up to £150,000 base + large bonus upside

This is a long-term engineering role in a firm where people tend to stay, systems evolve over years, and impact compounds over time.

You’ll be joining a highly respected trading business operating at the sharp end of global digital asset markets. The engineering team is small, senior, and trusted, with direct ownership of the firm’s core trading systems. It’s an environment built around autonomy, judgement, and accountability rather than process and politics.

The company is large enough to be a recognised and respected name in the market, yet small enough that your work is visible and genuinely matters. Leadership is stable and well-regarded, and the culture strongly favours long-term thinking over short-term churn.

Why you’d want this role

• Top-tier compensation for a fully remote position
• Fully remote by design, offering genuine flexibility and autonomy
• A high-trust environment where engineers are empowered to make decision
• Respected, stable leadership, with a highly rated CEO
• Work alongside engineers and traders with Tier-1 proprietary trading background
• Low staff turnover and a culture focused on longevity and quality
• Small enough to be visible, large enough to be a serious market participant

The challenges you’ll be solving

• Designing and evolving core trading systems in fast-moving, competitive markets
• Building infrastructure that processes millions of transactions across multiple venues and asset types
• Tackling performance, reliability, and scalability challenges in systems that run 24/7
• Working closely with traders and front-office stakeholders to turn real-world problems into production systems
• Continuously improving live systems while supporting active trading

What you’ll bring

• Strong commercial experience building production systems in Python and C++
• A solid grounding in data structures and algorithms, applied to performance-critical systems
• An excellent academic background in Computer Science, Engineering, or a related discipline
• Experience working closely with traders or front-office teams
• A strong sense of ownership and responsibility for the systems you build

This position is remote within European time zones, and you will have to prove full right to work in the country you wish to be employed in.

We recognise that individuals are not just checkboxes. If you’re intrigued by this opportunity but unsure if it’s the right fit, feel free to reach out to me on LinkedIn or via email – [email protected]

• Role: Senior Frontend Developer
• Client: E-Commerce
• Salary: £100,000 base
• Location: London (hybrid)

Durlston Partners is partnering with an innovative e-commerce brand creating fast, beautiful, and scalable online shopping experiences. They’re looking for a Frontend Developer who’s passionate about performance, clean code, and great UX.

What You’ll Do

• Lead the development of their Shopify e-commerce platform from front to back
• Build responsive, high-performing web experiences that delight users
• Collaborate with product, design, and marketing teams to launch new features
• Mentor developers and set best practices for code quality and architecture

What You’ll Bring

• Strong JavaScript (ES6+), CSS/SCSS, and responsive front-end experience
• Proven ability building modern e-commerce sites (React, Next.js preferred)
• Solid Node.js and API development skills
• Familiarity with databases (PostgreSQL/MongoDB) and cloud tools (AWS/Docker)
• A product mindset and attention to detail in performance and usability

[email protected]

Quantitative Researcher – Tier-1 HFT – APAC – Market Leading Compensation

Durlston Partners is working with a Tier-1 High-Frequency Trading (HFT) firm that is looking for a Quantitative Researcher to join their growing team in APAC.

You’ll work alongside top-tier traders and developers to design and deploy automated trading strategies. This is a research-intensive role where you’ll analyse massive datasets, identify market signals, and solve complex mathematical problems to drive profitability in Asian markets.

What You’ll Do

• Research and develop high-frequency trading strategies using statistical methods.
• Analyse large-scale market data to identify new alpha signals and patterns.
• Backtest and optimise models to ensure robustness and performance.
• Collaborate with engineers to implement strategies into the production trading environment.

What They’re Looking For

• Strong academic background in Maths, Physics, Statistics, or CompSci (PhD or Masters preferred).
• Experience in quantitative research or alpha generation (Buy-Side).
• Strong programming skills in Python or C++.
• Deep understanding of probability, stochastic calculus, or time-series analysis.

What They Offer

• Market-leading compensation with uncapped bonus potential.
• Opportunity to work in a leading financial hub (Singapore / Hong Kong / Sydney / China).
• State-of-the-art infrastructure and proprietary data access.
• Direct impact: your research directly drives the firm’s trading revenue.

If you are interested, please apply! Alternatively, feel free to reach out to [email protected] for a confidential discussion.

Software Engineer (HFT) – Leading HFT Firm – London – Competitive Salary + Bonus

Durlston Partners is working with a Tier-1 HFT firm that is looking for a Software Engineer (C++ or Python) to join their team.

You’ll work alongside traders and quantitative researchers to build and refine ultra-low latency trading systems. This is a hands-on role where you’ll optimize code for speed, develop execution algorithms, and solve critical performance challenges in a high-frequency environment.

What You’ll Do

• Design and implement trading strategies and systems using C++ or Python.
• Optimise the full trading stack for maximum throughput and efficiency.
• Integrate market data feeds and build high-performance analysis tools.
• Collaborate on research infrastructure and production deployment.

What They’re Looking For

• Strong academic background in CompSci, Maths, or Physics (ideally from a top global university).
• Proven experience in either C++ or Python development.
• Deep understanding of data structures, algorithms, and system design.
• Interest or experience in electronic trading or low-latency systems.

What They Offer

• Market-leading compensation with substantial bonus potential.
• Work with state-of-the-art hardware and technology.
• Collaborative, flat-structured environment.
• Direct impact: your code directly determines the speed and success of trading strategies.

If you are interested, please apply! Alternatively, feel free to reach out to [email protected] for a confidential discussion.

Quantitative Developer (Fixed Income/Credit) – Hedge Fund – London – £120k to £140k

• Role: Quantitative Developer (Fixed Income/Credit)
• Experience level: 2-8 years
• Requirements: Python, NumPy, Pandas, Credit/Fixed Income experience, etc.
• Compensation: £120,000-£140,000 (base) + generous bonus

Durlston Partners is working with an elite-level Hedge Fund that is looking for a Quantitative Developer (Fixed Income/Credit) to join their team.

The Profile:

• Experience: 2–8 years in a Quant Development role (Hedge Fund or Tier-1 IB)
• Tech Stack: Python, NumPy, Pandas, etc.
• Domain (Essential): Deep knowledge of Fixed Income or Credit products
• Education: Strong STEM background (CS, Math, Physics)

Why Apply?

• Culture: Flat structure, rapid release cycles, no red tape
• Stack: Greenfield projects available within a modern Python ecosystem

How to Apply:

Please apply to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: [email protected]

Quantitative Researcher – APAC, US, Europe, London, UAE, Remote

Durlston Partners is working with several top-tier Systematic Trading firms that are looking for Quant Researchers, where you’ll develop statistical models, uncover market inefficiencies, and work closely with engineers and traders to bring strategies from idea to production.

What You’ll Do:

• Research, design, and test systematic trading strategies
• Analyse large, noisy datasets to identify predictive signals
• Build and refine models using statistical, ML, or econometric techniques
• Collaborate with engineering to deploy and monitor live strategies

What They’re Looking For:

• Strong quantitative background (math, physics, CS, statistics)
• Proficiency in Python, R, or similar research languages
• Experience with statistical modeling, time-series analysis, or machine learning
• Curiosity, rigor, and a passion for data-driven decision-making

Perks:

• Highly competitive pay and bonuses
• Cutting-edge tech and challenging problems
• Strong project ownership
• Great benefits package

How to Apply:

• Please apply to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: [email protected]

Senior Data Engineer – Quantitative Trading Firm – $300,000 (tax-free) – Abu Dhabi, UAE (full relocation assistance provided)

Durlston Partners is partnering with a leading Quant Trading firm that leverages advanced data and technology to execute market-beating strategies. They are seeking a Data Engineer to design, build, and scale the data infrastructure powering research and trading systems, seamless access to high-quality, low-latency data in a high-performance environment.

Responsibilities

• Build and maintain real-time and batch data pipelines for market and research data
• Ensure low-latency, high-quality data access for quant researchers and trading systems
• Collaborate with quants to integrate datasets and optimize processing.

Requirements

• 3+ years of experience as a Data Engineer
• Experience in Big Tech, Quant Trading, Hedge Funds, or Crypto
• Proficient in Python
• Experience with cloud infrastructure (AWS/Azure)

Why Join

• Work with top quants on cutting-edge trading data infrastructure
• High-impact, technically challenging environment with a collaborative culture
• Competitive compensation with performance-based bonuses
• Great benefits and full relocation assistance

Engineering Manager (Python) – GenAI Start-Up – London – £300,000 + equity

Durlston Partners is working with an elite-level AI Tech firm that is looking for an Engineering Manager with a strong Python background to lead and grow one of their core engineering teams.

You’ll work closely with AI researchers, data scientists, and senior engineers to deliver scalable, high-performance AI systems. This is a hands-on leadership role where you’ll guide technical direction, mentor engineers, and contribute to production code and distributed system design in large-scale, data-intensive environments.

What You’ll Do

• Lead and mentor a high-performing team of software engineers working on AI research infrastructure, model training, and data pipelines.
• Drive the delivery of efficient, production-ready implementations of research models.
• Oversee the design, reliability, and optimisation of distributed, high-performance training and inference services.
• Establish and enforce best practices in testing, monitoring, CI/CD, and deployment across the team.
• Collaborate with product and research leads to define roadmaps and deliver high-impact engineering outcomes.

What They’re Looking For

• Strong academic background in Computer Science (ideally from a top global university).
• Experience leading engineering teams, ideally within Trading, Big Tech, AI, or similarly high-performance environments.
• Excellent Python skills and the ability to guide architectural and code-quality decisions.
• Knowledge of distributed systems or high-performance computing at scale.
• Track record of delivering complex technical projects and fostering strong engineering culture.

What They Offer

• Competitive compensation with equity.
• Work alongside top-tier AI researchers and engineers.
• Fast-moving, innovative environment.
• Direct impact: your leadership shapes the AI research and deployment infrastructure at scale.

If you are interested, please apply! Alternatively, feel free to reach out to [email protected] for a confidential discussion.

Senior Software Engineer (Python) – GenAI Start-Up – London – £300,000 + equity

Durlston Partners is working with an elite-level AI Tech firm that is looking for a Senior Software Engineer (Python) to join their team.

You’ll work with AI researchers, data scientists, and engineers to build scalable, high-performance AI systems. This is a hands-on role where you’ll write production code, design distributed architectures, and solve complex engineering challenges in large-scale, data-intensive environments.

What You’ll Do

• Build and optimise Python systems for AI research, model training, and data pipelines.
• Turn research models into efficient, production-ready solutions.
• Maintain distributed, high-performance services for training and inference.
• Apply best practices in testing, monitoring, and deployment.

What They’re Looking For

• Strong academic background CompSci (ideally from a top global university)
• Work experience/internships in Trading, Big Tech, AI, etc.
• Strong Python skills
• Knowledge of distributed systems or high-performance computing

What They Offer

• Competitive compensation with equity
• Work with top-tier AI researchers and engineers.
• Fast-moving, innovative environment.
• Direct impact: your work powers AI research and deployment at scale.

If you are interested, please apply! Alternatively, feel free to reach out to [email protected] for a confidential discussion.

Software Engineer (C++) – HFT – Remote – Up to $250,000 + huge bonus

Durlston Partners is working with a leading HFT firm seeking a C++ Software Engineer to join their trading infrastructure team. You will design, implement, and optimise high-performance trading systems that operate in real-time across global markets.

What You’ll Do:

• Develop and optimize high-performance C++ trading infrastructure
• Work on low-latency, multithreaded systems
• Collaborate with traders and quants to implement strategies

What They’re Looking For:

• Relevant working in Systematic Trading/Crypto/Finance
• Strong C++ skills and systems programming experience
• Experience with networking, concurrency, and performance tuning

Perks:

• Competitive pay and bonuses
• Cutting-edge tech and challenging problems
• Strong project ownership
• Great benefits package

How to Apply:

• Please apply to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: [email protected]

We are looking for a skilled Systematic Equity Quantitative Researcher to join a top collaborative fund and work directly with a Senior Portfolio Manager to build, expand and improve systematic equity stat arb strategies

You will play an integral role in the research process, helping shape the next generation of alpha-producing models and contributing to the evolution of our trading framework.

Responsibilities:

• Work alongside the Senior Portfolio Manager to uncover alpha opportunities across diverse datasets.

• Design, test, and deploy statistical models and computational methods to support systematic equity trading.

• Examine market behaviour, factor dynamics, and strategy outcomes to guide ongoing portfolio decisions.

• Drive enhancements to existing trading approaches through rigorous research, experimentation, and data-driven insights.

Qualifications:

• Solid academic or professional foundation in quantitative finance, statistics, applied mathematics, or a related discipline.

• Hands-on experience with statistical arbitrage or other systematic investment techniques.

• Strong programming ability in languages standard to quant research such as Python.

• A proactive mindset, strong analytical instincts, and comfort operating in a fast-moving research environment.

We’re partnered with a global HFT that quietly ranks among the world’s best, expanding across frequencies and asset classes strategically, with an extremely collaborative and high-performing team, looking to bring in more Quantitative Researchers, offering strong guarantees and cuts of PnL.

Asset Class: global interest across various Cash, Futures and Options products.

A major differentiator: their DL & AI group is genuinely exceptional, their infra is world-class (trading, research, backtest) , they are substantially more collaborative than most and the scope of the role can touch various global markets.

The team includes ICPC Golds, IMO/IOI medallists, Google Hashcode winners, Kaggle Grandmasters, and deep learning specialists. From industry, they have hired multiple Quantitative Researchers and Engineers from the top 5 HFTs

This role is suitable for people with experience in both derivatives and cash products, with the role allowing freedom to work across Equities, Futures, Options etc – with the role touching everything from raw data to how the model is traded, with the Deep Learning team supporting your efforts if needed.

Compensation – this is the best of the best – strong 7-figure cash guarantees are followed by PnL cuts.

We are looking for an experienced Quant Research Lead to lead the development of internal data functions powered by advanced AI/ML techniques. This role is central to transforming raw financial and alternative datasets into high-impact insights used by our Quant Research teams.

What You’ll Do:

• Lead the design and implementation of scalable data products integrating AI/ML models
• Partner with QR teams to identify key use cases in alpha and signal generation
• Explore and structure complex datasets—including alternative, fundamental, and market data
• Building tools that translate data insights into actionable outcomes, mostly for Equities, Macro and Commodities strategies
• Drive innovation in data usage, model explainability, and research workflows

What We’re Looking For:

• 15+ years in Quantitative Research, Data Science and AI/ML, mostly within finance
• Deep experience applying machine learning to large, diverse datasets
• Strong understanding of equity and commodity markets and their associated data
• Proven ability to lead interdisciplinary teams and bridge research, data, and investment functions
• A hands-on mindset with a strategic lens for long-term data architecture

We are working with a very well-backed prop trading firm in Dubai, who are looking for C++ Trading Engineers, to build their next-generation trading platform. You will be developing low-latency systems with an event-driven architecture, with direct connectivity to major global exchanges.

Key Responsibilities:

• Collaborate with a dynamic team to design and develop a brand-new trading platform from the ground up.
• Implement low-latency, event-driven systems in C++ and Python, ensuring optimal performance and scalability.
• Build and maintain exchange adapters and connectivity solutions for markets (US, Europe, APAC, Crypto etc)
• Apply parallel programming and concurrency techniques to handle high data throughput and low-latency requirements.
• Utilise TDD methodologies to ensure clean, maintainable, and reliable code.
• Work closely with the architecture team to integrate real-time data feeds, order processing, and trade execution in an event-driven framework.
• Monitor and improve system performance, troubleshooting and optimising as needed to ensure ultra-low latency and stability.

Key Requirements:

• Experience with modern C++, proficiency in building and optimising low-latency systems.
• Event-Driven Architecture – hands-on experience with event-driven design patterns, including experience with message brokers and real-time data processing.
• Low Latency and Parallel Programming – familiarity with multithreading and concurrency, ideally within trading or real-time systems.
• Python Skills – competency in Python for automation, scripting, and data processing tasks.
• Exchange Connectivity – experience with FIX protocol and building adapters.
• TDD – proven experience in applying TDD principles to write clean, testable code.
• Troubleshooting and Performance Tuning – strong debugging skills and experience optimising for ultra-low latency.

A discreet global Research-driven prop shop has partnered with us to find a Staff Research Scientist to work on novel DL model uses in Trading, hiring remotely.

Role – This is a Senior IC seat, responsible for technical innovation and shaping research strategies firmwide, using the most update to date developments in AI/DL. This will work closely with a team of Research scientists and Kaggle Grandmasters to conduct foundational research and productising deep learning innovations across all strategies, research and trading – a blank slate to apply frontier AI thinking (RL, transformers, learned systems) in a high-impact environment interesting points on how Deep NN interact with the extremely noisy world of financial markets.

Ideal experience:

Working in a top research firm + experience teaching at a Tier 1 Research University + Strong H-index

Progression – you will start as a very senior IC, and compensation will grow significantly, with options to grow your team should you wish to do so.

Team – they are exceptional, consisting of a number of Kaggle Grandmasters, as well as ICPC/IMO/IMC medallists.

We are seeking a Data Scientist to join a high-calibre Quant team within a discreet fund based in the UAE, operating at the intersection of Quantitative Research and Artificial Intelligence. This role is dedicated to leveraging data and language models to support the research, development, and implementation of systematic investment strategies. The successful candidate will combine strong technical skills with a solid understanding of financial markets and a passion for innovative data applications.

Key Responsibilities

• Develop and maintain automated data pipelines for ingestion, tagging, cleansing, and integration of financial text and structured data.
• Oversee and enhance quality control processes for financial content generated by large language models (LLMs), ensuring coherence, accuracy, and logical consistency.
• Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI-driven models.
• Conduct descriptive and exploratory analysis to uncover patterns, trends, and potential applications across a wide range of datasets.
• Maintain robust and scalable data infra to support real-time and batch processing workflows.
• Provide domain expertise to help shape financial knowledge representation in LLM outputs.
• Develop and apply custom quality metrics to assess and guide model performance.
• Actively participate in development cycles, research discussions, and cross-functional knowledge-sharing sessions.

Required Qualifications

• Bachelor’s or Master’s degree in a quantitative discipline (e.g., Computer Science, Finance, Economics, Statistics, Engineering).
• 3+ years of professional experience in Data Science or Quantitative roles within finance.
• Proficiency in Python and SQL with exp. in data processing libraries such as pandas/numpy.
• Experience with machine learning frameworks and statistical analysis tools.
• Familiarity with financial data sources, APIs, and data modelling techniques.
• Ability to design, implement, and maintain scalable data pipelines and workflows.
• Excellent problem-solving skills and the ability to communicate complex ideas clearly to both technical and non-technical audiences.

Preferred Qualifications

• Experience with LLM fine-tuning, prompt engineering, or other NLP methodologies.
• Strong curiosity and motivation to explore new technologies and methodologies in data science and AI
• Strong understanding of macroeconomics, financial markets, and investment principles.

Senior Software Engineer – Rust, C++, Java or Python – London – Up to £150k base + meaningful equity

Are you excited by solving technically challenging problems and building mission-critical software?

We’re partnering with a well-funded, high-growth technology company at the forefront of software and AI innovation. They’re building the foundational platforms that power the autonomous age – tackling some of the toughest challenges in robotics, autonomy, and large-scale data systems.

This is a chance to:

• Build core platforms and intuitive interfaces that enable autonomous systems to collaborate and process vast amounts of sensor data.
• Solve complex technical problems alongside exceptional engineers from AI, robotics, and systems backgrounds.
• Join at a pivotal growth stage, with high levels of ownership, autonomy, and impact from Day One.
• Work in a collaborative culture, where your ideas directly influence product design, functionality, and direction.

What you’ll do:

• Design, build, and test core software platforms and user interfaces.
• Collaborate with customers and users to refine and deliver features that matter most.
• Interface with autonomous and robotic systems in the field.
• Contribute to a culture of engineering excellence, working closely with colleagues across AI/ML, networking, and robotics.

What we’re looking for:

• Strong programming skills in C++, Java, Rust, or Python.
• Experience with front-end development (TypeScript/JavaScript, React or Angular) – a plus, not a requirement
• A strong computer science, engineering, or technical background (degree or equivalent experience).
• Enthusiasm for working across a diverse tech stack and solving problems in mission-critical environments.

Why join:

• Competitive base salary (£100k–150k) with meaningful equity in a company built for the long term.
• Strong employer pension contribution.
• Private health and dental insurance.
• Free breakfast, lunch, and weekly team socials.
• A collaborative engineering-driven culture, with a modern London office as the hub.

Infrastructure Lead (Hands On) – Global Securities Firm (Market Making) – London – Greenfield AWS Trading Infra

Are you ready to lead the infrastructure vision of a global trading firm?

We’re looking for an accomplished Infrastructure Lead/Head of Infrastructure to drive the transformation of a cutting-edge trading environment – scaling systems that power real-time decision-making across global markets.

This is an opportunity to own an ambitious cloud migration and greenfield build-out, working with world-class technologists and traders on platforms that demand ultra-low latency, resilience, and scalability.

What You’ll Do

• Lead the design and delivery of next-generation trading infrastructure across cloud and on-prem environments.
• Drive the firm’s migration to AWS, architecting hybrid solutions that balance performance, security, and cost.
• Build and mentor a top-tier DevOps and Infra team.
• Implement automation and monitoring solutions that keep mission-critical systems running at peak performance.
• Collaborate closely with engineering, trading, and risk teams to deliver reliable, high-speed platforms.

What’s In It for You

• Strategic ownership – Take full responsibility for shaping infrastructure decisions across a high-growth trading business.
• Greenfield opportunity – Lead the buildout of a new, global environment from the ground up.
• Innovation-first culture – Work with elite engineers in a technically demanding, forward-thinking environment.
• Impact & visibility – Partner directly with senior leadership, influencing both technology and trading outcomes.
• Competitive compensation – Reflective of the seniority and technical depth of the role.

What You Bring

• 7+ years in infrastructure, DevOps, or cloud engineering within trading, financial services, or other high-performance environments.
• Proven leadership experience with AWS and hybrid architectures.
• Strong technical grounding in networking, automation, and system reliability.
• Hands-on skills in scripting (Python, Bash), infrastructure as code, and network optimisation for latency-sensitive systems.

C++ Trading Engineer – Prop Trading Firm – Dubai, UAE – Greenfield Low-Latency Platform

Comp: USD $100k – 200k base DOE

Build something new from the ground up.

We’re partnering with a high-performing trading team embarking on an ambitious greenfield project – developing a next-generation, low-latency trading platform that connects directly to global exchanges across equities, derivatives, and commodities.

They’re looking for C++ Trading Engineers (varying levels of experience) who thrive on solving complex engineering problems and want to shape a new system from day one.

What You’ll Do

• Design and build ultra-low-latency, event-driven systems in C++ and Python.
• Develop exchange connectivity to leading markets including NSE, BSE, MCX, CME, and Gift City.
• Work on parallel programming, concurrency, and real-time data processing.
• Apply test-driven development and performance tuning to deliver clean, high-quality code.
• Collaborate with experienced engineers on a brand-new trading platform – no legacy systems, no red tape.

What You’ll Bring

• Strong experience in modern C++ and a solid grasp of Python.
• Deep understanding of low-latency design, multithreading, and event-driven architectures.
• Hands-on experience with FIX protocol or building connectivity to financial exchanges.
• Excellent troubleshooting and profiling skills for real-time systems.
• (Bonus) Familiarity with trading concepts, order flow, and market data structures.

What’s In It For You

• A greenfield environment where you can influence architecture, design, and technology choices.
• High-impact work – your code will directly power real-time trading on global markets.
• A collaborative, high-calibre team focused on technical excellence, not bureaucracy.
• Competitive compensation, strong career progression, and exposure to cutting-edge systems design.

Head of AI – Global Fund – Relocation to Singapore (sponsorship provided) – Greenfield Buildout

Salary: $500k – 1m TC + bonus tied to projects success

A leading global investment fund is embarking on one of its most ambitious strategic initiatives yet – the creation of an AI-powered “alter ego” of its investment team. This next-generation system will combine deep data intelligence, machine learning, and quantitative research to learn from decades of investment expertise and generate data-driven, explainable investment recommendations.

Location: Singapore

Title: Head of AI – this role sits on the senior leadership committee and engages with all c-suite

Salary: $500k – 1m TC + firm-level discretionary bonus tied to projects performance

This is not a role for someone looking to optimise existing models – it’s for a builder and a thinker who wants to design and lead a greenfield AI programme from the ground up, sitting at the intersection of technology and investing.

What you’ll do

• Lead the end-to-end architecture and technical strategy for an AI-driven investment intelligence platform.
• Partner with portfolio managers and investment professionals to translate their philosophy and decision frameworks into codified, testable models.
• Build and oversee robust data pipelines, NLP systems, and model training frameworks for hypothesis testing and portfolio optimisation.
• Hire and mentor a small, high-calibre team of AI researchers and engineers, fostering a culture of experimentation and precision.
• Make key “buy vs. build” calls across data, infrastructure, and AI tooling to balance innovation with scalability.

What we’re looking for

• 10+ years of experience in data-intensive technology roles, including 5+ years in senior leadership or architecture.
• Strong background in Python and the broader ML ecosystem (PyTorch, TensorFlow, Scikit-learn, NLP transformer architectures).
• Experience building large-scale data or AI systems in cloud environments (AWS, GCP, or Azure).
• A deep understanding of financial markets, ideally through direct work in quant research, hedge funds, or asset management.
• A mindset that blends engineering rigour with investment intuition – someone who’s excited to translate human investment logic into machine intelligence.

Why this role is unique

• Build a system from scratch – no legacy tech or technical debt.
• Work directly with senior investors to shape the next generation of data-driven investing.
• See a clear link between your work and the fund’s performance.
• Competitive compensation and long-term incentives tied to the project’s success.

If you’re passionate about applying AI to real-world investment problems, and want to lead a technically ambitious project with direct impact, please apply!

Chief Legal Officer (CLO) – Europe Relocation (or 50% travel commitment) – Global Crypto HFT

Requirement: Strong mix of business & legal acumen

Package: £250k – £300k base + performance-based bonus (cash & equity)

Additional: Opportunity to purchase equity or invest directly in the fund

Location: Europe (relocation or 50% travel required), location confidential until initial call

Are you ready to shape the legal and regulatory strategy for one of the world’s most ambitious high-frequency crypto trading firms?

This Global Crypto HFT is already one of the largest by trading volume and are now looking for a Chief Legal Officer (CLO) to join their senior leadership team. You’ll be the firm’s legal compass, navigating complex global regulations, scaling processes to match hypergrowth, and working shoulder-to-shoulder with engineers, quants, and traders who thrive on pushing boundaries.

The Opportunity

• Lead the legal and regulatory agenda for a global HFT with multi-jurisdictional operations.
• Partner directly with founders and C-suite to shape strategy as the firm expands its international footprint.
• Drive engagement with regulators and advise on financial markets, derivatives, and securities law.
• Build and lead a world-class legal function to match the pace of a rapidly scaling trading firm.

About You

• 10+ years’ PQE, ideally qualified in a common law jurisdiction.
• Prior experience as CLO or General Counsel within trading, financial services, or digital assets.
• Deep understanding of capital markets, international structuring, and regulated activities.
• Resourceful, decisive, and unafraid to make calls with imperfect information.
• A natural communicator who values integrity, directness, and transparency.

Why This Firm?

• No politics, no fluff, a culture built on trust and radical transparency.
• A chance to own part of what you help build – with equity participation and investment options.
• Join a close-knit team of engineers, traders, and quants driven to become the world’s best crypto trading firm.

If you’re excited by complex challenges, regulatory grey zones, and the idea of building something enduring in crypto, this is where you belong.

Software Engineering Manager (AI Agent Team) – London – Conversational AI Platform

Package: Up to £280k base + equity

A leading conversational AI platform, enabling companies to build, optimise, and scale advanced AI agents, are looking to hire a an Engineering Manager to help build them build a new project from the ground up.

This is a rare opportunity to join a hyper-growth AI company backed by top-tier investors, shaping the future of enterprise-grade AI agents used across finance, healthcare, hospitality and more.

What you’ll do

• Lead and mentor a high-performing engineering team responsible for deploying cutting-edge conversational AI agents used by millions.
• Work hands-on across Python, TypeScript and asynchronous systems to design, build and iterate on AI agents that solve complex customer problems.
• Collaborate closely with product, design, research and enterprise customers to translate real-world pain points into robust AI solutions.
• Help drive engineering strategy, influence platform evolution, and contribute to a world-class agent development environment.

What you bring

• 2+ years of engineering management experience and 7+ years of commercial software engineering experience.
• Strong hands-on ability in Python, TypeScript and asynchronous programming.
• Comfort working across deep technology stacks and diagnosing complex system issues.
• Bonus: experience with multi-modal AI models.

Why this role is exciting

• Build and shape a new engineering hub.
• Ship impactful AI agents end-to-end with full ownership and autonomy.
• Work in-office with top engineers solving technically challenging, industry-defining problems.
• Excellent compensation, equity and in-office perks.

If you’re passionate about pushing the boundaries of AI systems and want to help define the next generation of intelligent agents, this role is worth a conversation.

Quantitative Trader – Fully Remote – Diverse Asset Classes (India OR China)

Package: Up to $250k base + bonus/PnL share

Systematic (can consider semi-systematic), Intraday (mins to hours), and non-latency sensitive.

Markets/Instruments:

1. Indian options
2. Chinese spreads/futures

What You’ll Do:

• Develop and execute algorithmic trading strategies to identify and capitalise on market inefficiencies across multiple asset classes.
• Monitor and optimise trading performance in real time, adjusting algorithm configurations across Delta 1 and Options strategies.
• Manage and report risk, PnL, and performance metrics with precision.
• Collaborate with cross-functional teams to ensure smooth execution and operational excellence.
• Build and maintain relationships with brokers, counterparties, and other market participants.
• Provide insights on market conditions and trading performance to senior stakeholders.

Who You Are:

• 5+ years of proven trading experience in one of the earlier mentioned markets.
• Experienced in running systematic trading strategies with holding periods from minutes to a few hours.
• Strong knowledge of Delta1 products and derivatives.
• Proficient in Python or C++.
• Well-connected within your market and respected by peers, with references available.
• Deep understanding of market structure, regulations, and emerging trading opportunities.

Why You’ll Love This Role:

• Fully remote – work from anywhere in the world.
• Competitive compensation: Up to $250k base + discretionary bonus or PnL share.
• Be part of a technology-first trading team that values innovation and collaboration.
• Exposure to a wide range of markets and strategies with a global perspective.

𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 – 𝐀𝐈 𝐒𝐭𝐚𝐫𝐭-𝐮𝐩 – 𝐋𝐨𝐧𝐝𝐨𝐧 – 𝐔𝐩 𝐭𝐨 £𝟏𝟑𝟎𝐤 + 𝐄𝐪𝐮𝐢𝐭𝐲

*Disclaimer* – We have a number of Frontend roles for various AI firms/ trading firms, so if you this role isn’t quite suitable, but you are interested in exploring the market, please apply and I will come back to you with hopefully something better suited.

We have partnered with a well backed AI firm that is building a specialised platform to help solve some of the most complex context-dependant problems within the financial trading industry, specifically handling large amount of edge cases, simplifying the way businesses build applications.

The firm s looking to hire a Frontend developer to own the architecture, and user experience for end to end applications, as well as assistant interfaces. Translating complex financial operations into intuitive interfaces working closely with end users to improve workflows.

Requirements:

• ~5 years frontend development experience with modern frameworks (React, Vue.js, or similar) and strong TypeScript proficiency
• Proven track record building complex, data-intensive dashboards and interactive visualizations for business users
• Strong UX/UI sensibilities with ability to design intuitive interfaces for sophisticated financial workflows
• Experience with state management, data fetching patterns, and real-time updates
• Backend competency to integrate RESTful APIs, understand data models, and contribute to business logic when needed
• Familiarity with financial services workflows or willingness to develop deep domain expertise quickly
• Comfort working directly with clients, gathering requirements, and iterating rapidly based on user feedback
• Interest in forward-deployed engineering model where you’ll be embedded with clients to ensure product-market fit

The process is 3 stages, with high level technical conversations and indepth questions regarding your previous experience/projects. They will be looking for someone who can understand the full extent of where their role fits within the wider team/business and has a good understanding of where

Enterprise Account Executive – AI Tech – £120k + huge bonus/equity – London

Durlston Partners is working with an exciting AI Tech firm that is hiring a Enterprise Account Executive to lead onboarding and rollout of their AI platform for FTSE 100 clients. You’ll ensure smooth implementation, early adoption, and clear value delivery.

Responsibilities

• Lead end-to-end client onboarding.
• Run discovery and define deployment plans.
• Build relationships with senior enterprise stakeholders.
• Translate business needs into clear internal requirements.
• Deliver training and enablement sessions.
• Identify risks and resolve deployment blockers.
• Relay client insights to product and GTM teams.

Experience

• Direct experience onboarding or deploying solutions into FTSE 100 or similar enterprises.
• Background in GTM, Sales, Customer Success, or Implementation.
• Strong project and stakeholder management.
• Comfortable navigating technical and commercial discussions.
• Experience in high-growth tech environments.

Attributes

• Clear communicator and strong relationship builder.
• Structured, proactive, and organised.
• Commercially aware with strong problem-solving skills.

How to Apply:

Please apply to the advert to register your interest. Alternatively, please feel free to reach out to me for a confidential discussion: [email protected]

Front Office – Python Risk Developer – Macro Hedge Fund – London – Up to £300k+ TC

One of London’s most sought-after hedge funds, founded by a top-performing Portfolio Manager from a leading multi-manager platform, is expanding its Front Office Technology team. They are seeking an engineer to develop advanced technical risk solutions and applications supporting both the Portfolio Managers and the Risk Management function.

You would take ownership of the end-to-end development of trading, risk, and analytical tools tailored to PMs’ needs, as well as contribute to the build-out of their highly distributed cross-asset Risk Management platform.

Requirements

• 5+ years experience within a Hedge Fund, Investment Bank or Trading firm’s technology function.
• Strong proficiency with Python, including the most recent releases/tooling and supporting libraries
• Demonstrated experience architecting and building risk tooling and risk management systems.
• Strong Communication skills, combined with strong fundamental software engineering principals.

Why would this interest you?

• Very high impact role in a scaling Macro Fund with an excellent track record.
• Hybrid working structure: 3 days in, 2 remote
• Very competitive compensation with 10% Pension
• The team is very collaborative and supportive with many of them working for the very best Hedge Funds and Trading firms

Quantitative Developer

Systematic Hedge Fund

Up to £150k base + excellent bonus + potential sign-on

A successful Systematic Hedge Fund with excellent returns based in Central London is looking for a Python Quant Developer to join their Quantitative Development Team which helps researchers and portfolio managers implementing and optimising their signals and trading algorithms.

Our client has a flat structured, transparent and collaborative environment. You will have plenty of opportunity to grow and have an important impact on the business and PnL.

Responsibilities:

• Implement and optimise signals and trading algorithms for various PM Teams
• Build tools for signal generation
• Work with traders and quants to roll-out, support and run strategies
• Build and support new quantitative trading framework
• Design clean architecture and leverage state of the art tools and components
• Bring new ideas and experimenting with new technologies

Requirements:

• Strong programming skills with Python (including performance optimization)
• Knowledge of data structures and algorithms
• Experience working in a front office environment with researchers and traders
• Excellent communication skills
• Strong education background in STEM

We will respond to all successful candidates shortlisted for this opportunity within 2 days and would advise all candidates to follow our LinkedIn company page for all the latest opportunities.

Java Developer

Join a high-impact Core Technology team at a leading systematic hedge fund, building the systems that underpin trading, treasury, and risk management operations.

About the Company

This firm is a major player in the space, a multi-strategy hedge fund with a strong focus on systematic and quantitative trading. Founded by industry veterans, it combines deep financial expertise with advanced software engineering to manage institutional capital globally.

What You’ll Do

• Design and build high-impact internal systems using Java and Python (Java-led stack)
• Own projects end-to-end: from architecture to deployment
• Collaborate with analysts to solve real-world business problems
• Support and mentor junior team members on coding and data skills
• Deliver clean, maintainable, and scalable solutions

Who They’re Looking For

• Strong experience with Java (essential) and Python
• Experience working in treasury, operations, fund management
• An interest in and working knowledge of AI-assisted development tools
• Excellent problem-solving skills and clean coding habits
• Prior experience in finance, or high-performance environments

📩 Apply now! If you don’t hear back within three working days, unfortunately, your application has not been successful.

Senior Data Engineer | Remote (UK or Europe)

A leading prop trading firm is hiring a Senior Data Engineer to take ownership of their trading and market data infrastructure. Operating globally with connectivity to dozens of exchanges, the firm executes millions of trades daily with data playing a mission-critical role in every aspect of the business.

This is a high-impact, high-autonomy role in a lean engineering environment. You’ll design and maintain real-time and historical data systems, power internal analytics tooling, and ensure data quality, reliability, and observability across production systems. Ideal for someone who thrives in fast-paced, trading-led environments where precision and performance are non-negotiable.

Key Responsibilities

• Build and maintain low-latency distributed data pipelines
• Develop and run real-time time-series data collectors
• Automate monitoring and data quality checks
• Create tools and APIs for data access
• Collaborate with traders and developers on data needs
• Ensure 24/7 pipeline reliability

What We’re Looking For

• Strong Python and SQL
• Experience with trading/market data in production
• Proven work on real-time, high-volume pipelines
• Familiar with distributed SQL/NoSQL

Bonus Skills

• Clickhouse and S3/data lakes
• C++ on Linux
• Terraform or similar IaC
• Network protocols and exchange data

What’s on Offer

• Fully remote role (UK or Europe only)
• Flat structure, strong engineering culture
• Competitive base + performance-linked bonus
• Flexible working hours
• Biannual off-sites to meet the global team in person

Senior Software Engineer – AI Start-up – London – In-Office – Up to £200k Base + Equity

We’re supporting a category-leading AI organisation building next-generation conversational agents used by major global brands. Their platform powers intelligent, human-like interactions across chat, email and voice, resolving millions of customer queries in real time and at enterprise scale.

You would join a high-impact engineering team responsible for deploying production-grade AI agents that sit at the core of the product. These agents handle complex, multi-step customer journeys, work alongside human support teams, and directly influence customer experience, retention and revenue.

This environment suits engineers who enjoy working end-to-end across the stack, quickly iterating with customers, and tackling deep technical challenges in reasoning, evaluation, orchestration and large-scale system reliability.

Responsibilities

• Design and build AI agents that outperform human agents on complex customer interactions.
• Own features from inception to production, including modelling, evaluation, and integration with customer systems.
• Work directly with business leaders across sectors such as finance, healthcare, transport and hospitality.
• Experiment with the latest text and voice models and build scalable, production-ready pipelines.
• Identify patterns across customers and feed those insights into platform improvements.

Qualifications

• 2+ years’ experience in software engineering.
• Strong competence with Python and TypeScript, including asynchronous programming.
• Ability to debug across deep technical stacks: distributed systems, latency, failure modes, data flows.
• A strong academic background (top university or equivalent).
• Curiosity, ownership, and a bias for rapid, high-quality execution in an in-office environment.

Hedge Fund – London – Up to £200k

A leading Hedge Fund is looking for an experienced Frontend Engineers to join their Front Office technology team in London. This is a high-impact role, working directly with Portfolio Managers, Quants, and Traders to design and deliver cutting-edge front-end systems that power real-time investment decisions.

You’ll be building intuitive, high-performance UIs in React / TypeScript, with a strong focus on data-rich visualisations that bring complex trading strategies and risk models to life. This role offers true ownership of front-end design and delivery, with the opportunity to influence both technology and business decisions at the core of the fund’s operations.

What you’ll do:

• Work closely with Portfolio Managers and Quants to translate trading needs into elegant, performant UIs.
• Design, build, and maintain React / TypeScript applications with real-time data visualisation.
• Own front-end architecture, ensuring scalability and high performance in latency-sensitive environments.
• Collaborate across front office technology, shaping the tools that reduce friction and provide instant insights into strategy, risk, and performance.

What we’re looking for:

• 5+ years’ professional UI / Frontend development experience.
• Expertise in React, TypeScript, JavaScript, with exposure to Python a plus.
• Hands-on experience with data visualisation libraries (e.g. D3.js, Highcharts, Plotly, etc.).
• Strong Computer Science fundamentals (Algorithms, Data Structures, System Design).
• Essential: prior experience in a trading, hedge fund, or front office environment.

Why join?

• Collaborate directly with investment professionals at one of the world’s most successful hedge funds.
• Work on business-critical systems where your code has immediate impact.
• Highly competitive compensation plus bonus and benefits.
• Cutting-edge tech stack, complex data challenges, and full ownership of your work.

Python/C# Developer – London

Join one of the most exciting new hedge funds in the market

We’re partnered exclusively with one of the most talked-about new hedge funds in the market, a high-impact, technology-first firm making serious waves in the industry. Founded by some of the sharpest minds in trading and engineering, they’re rapidly building a reputation for innovation, speed, and results. With the energy of a start-up and the resources of a top-tier institution, they’re creating cutting-edge systems and looking for exceptional developers to be part of their journey.

The role

You’ll work on mission-critical systems covering valuations, Risk/PnL, and the full trading lifecycle. Python will be your main language, but you’ll also need to read and write C# confidently. You’ll design and deliver scalable, reliable architectures while balancing strategic quality with tactical speed, and knowing when to modernise vs build around legacy code.

What you’ll bring

• 3–6 years’ software engineering experience, ideally CompSci background.
• Strong Python + C# experience.
• Exposure to either valuations, Risk/PnL, or trading lifecycle.
• Knowledge of REST APIs, containerisation, cloud deployment, and Pandas.

Why join?

Work with brilliant engineers and quants, solve complex real-world problems, and have direct impact in a hedge fund scaling at pace.

To learn more or express interest confidentially, feel free to get in touch directly.

Note: If you don’t hear back within 3 days, your application was unfortunately not successful.

Senior Data Engineer – ML Quant Fund – UAE – up to $250,000 USD

Opportunities for Data Engineers to do truly impactful work in the UAE remain scarce, with most buy-side firms keeping their core tech teams in London, New York, or Singapore. This team rewards people directly for the impact they make, with performance bonuses that genuinely reflect contribution.

Although the team prefer collaborating in person, the office is conveniently located. The most sought-after neighbourhoods in Abu Dhabi are only a 10–20 minute drive away. No tube strikes, no packed commutes, and no paying for a season ticket just to stand. A cab typically costs around £8 one way.

It’s also a place where people stay. Staff turnover is well below industry average, and most of the team have relocated from top buy-side firms across New York, London, Singapore, Hong Kong, and Paris.

What you’ll do

• Acquire and ingest datasets from various sources to meet business needs.
• Design, build and manage robust data pipelines and infrastructure to ensure high data quality and reliability.
• Collaborate with cross-functional teams to understand business objectives and translate them into technical solutions.
• Partner closely with quantitative researchers and investment analysts to ensure data products meet research requirements.

What you’ll need

• 6+ years’ experience in Data/Quant Engineering
• Python, SQL
• Modern data warehousing (Snowflake, Databricks, Redshift, etc.)
• Apache Airflow or similar
• Terraform
• Cloud experience (AWS, Azure, GCP)
• Familiarity with common financial datasets (Bloomberg, FactSet, S&P Global, Macrobond, Finaeon, MSCI, etc.)

Why move to the UAE?

• Ranked among the top 5 safest cities in the world
• An emerging global hub for buy-side finance
• Top international schools with school fees covered by the client for your family
• Year-round sunshine; option to work from your home country in July/August
• Significant tax advantages

For an informal discussion and to talk through your expectations, apply now: [email protected]

If this role isn’t right for you but you know someone who may be interested, we offer a market-leading referral scheme for anyone who refers a friend who successfully passes probation. T&Cs apply.

This team in the UAE has been founded by Quant industry veterans who understand the requirements to build a Quant business from scratch have the most resources anywhere pretty much (near infinite compute and data budgets with almost instant approvals). + a complete Data overhaul that will mean that data is not just abundant but clean and easy to access.

They are seeking exceptional QRs that can transform complex financial and alt data, and use AI/ML, to generate alpha across a variety of strategies/asset classes. This is led by an incredibly strong team of collaborative PMs that give the best environment to learn anywhere in the world, with additional flexibility on projects and scope to bring new ideas to the table.

What You’ll Do

• Leverage cutting-edge machine learning techniques to uncover hidden patterns in financial data and generate novel alpha strategies
• Apply machine learning algorithms to diverse, large-scale datasets from diverse source (financial and alt, huge data function delivering this).
• Create and test complex investment ideas in collaboration with their engineering team
• Participate in reading circles to stay current with the latest research. Share insights from conferences on stats/ML/Data Science.

What We’re Looking For

• Degree in a technical or quantitative discipline (statistics, mathematics, physics, electrical engineering, or computer science)
• All education levels welcome, from bachelor’s to doctorate
• Intermediate programming skills in C, C++, Java, Python, or similar languages
• Deep understanding of machine learning algorithms with the ability to modify and optimize them
• Hands-on experience applying machine learning to real-world datasets
• Experience developing and implementing sophisticated quantitative models to exploit market inefficiencies
• Published research in academic journals or conference presentations (preferred)

Why move to the UAE?

• Ranked top 5 safest cities in the world
• Top international schools; school fees are covered by this client for employee’s family
• Year round sunshine; you can work from your home country in July/August
• Huge tax benefits

We recognise that individuals are not just checkboxes. If you’re intrigued by this opportunity but unsure if it’s the right fit, feel free to reach out to me on LinkedIn or via email [email protected]).

Principal Software Engineer – Artificial Intelligence – London – up to £260k base + Equity

Do you aspire to take technical ownership of a platform in an industry where acquisitions can happen within a matter of years?

Defense technology is experiencing exponential growth. For instance, before 2021, investment in the sector across Europe never exceeded $100 million in a single year. However, in 2023, Europe’s defense startups raised $464 million.

You’ll spend 90% of your time coding and the other 10% mentoring other developers. Together, you’ll engage in highly varied work on an enterprise-tier system that integrates robotic and autonomous systems through a unified interface. Here, critical thinking and rapid development are the guiding principles. The team begins each day with open, engaging discussions, creatively brainstorming how to tackle technical challenges.

What are we looking for?

• A degree in Computer Science or a related field.
• Strong programming skills in either C++, Java, Rust or Python
• 5+ years of development experience in building complex, multi-user systems.

The culture is founded on trust and individual maturity, free from micromanagement.

We recognise that individuals are not just checkboxes. If you’re intrigued by this opportunity but unsure if it’s the right fit, feel free to reach out to me on LinkedIn or via email [email protected]).

You may not have previously been aware, but if you have skills which involve tuning trading logic for maximum performance in C++, you may have a new home in Dubai.

This team will be looking at you for your expertise around high-frequency trading algorithms. Deploying trading ideas in the market is what you’re likely to be known for, especially when you know how to improve other things like resource scheduling, data caching and how compute is distributed.

Other things you’ll be doing:

• Working within a Linux/Cloud environment with a strong focus on system and processor performance, networking, and distributed systems
• Balancing high-level architectural design with detailed low-level system optimization, ensuring fault tolerance, simplicity, and robustness
• Taking ownership of projects and contributing to the technical direction of research and trading platforms

Interestingly, you’ll be deploying strategies in an almost entirely cloud-based environment in this shop, so don’t see this role merely as a repeat of what you’re doing. Look at it as somewhere where you’ll be solving new quantitative trading problems and working with engineers who can teach you about the very interesting networking problems they’re solving as well.

Want to know more about a business with only 2 departures in 7 years (hint; this means they pay everyone very well)? Please apply to the link provided!

💼 C++ Engineer – High-Performance Trading Systems

Exceptional opportunity within a HFT firm!

We’re partnering with an innovative company that leverages cutting-edge technology and data science to build ultra-low latency systems for fast-paced markets.

They’re seeking a skilled Software Engineer to join their high-performance technology team.

🎯 What You’ll Do:

• Build and optimise ultra-low latency execution systems and trading infrastructure
• Develop high-performance data pipelines processing millions of market data points
• Create automated tools for deploying models and managing real-time execution systems
• Work on microsecond-critical systems that require extreme performance optimisation
• Collaborate with researchers to implement algorithmic strategies in production environments
• Optimize system architecture for minimal latency and maximum throughput

🛠️ What they’re Looking For:

Essential:

• 5+ years of professional software development experience
• Strong programming skills in C++, Python, or other performance-oriented languages
• Experience with low-latency systems, real-time data processing, or high-frequency applications
• Understanding of system performance optimisation and memory management
• Knowledge of networking protocols, market data feeds, or execution systems

What Makes You Successful:

• Obsession with performance optimization and eliminating latency
• Strong analytical mindset for debugging complex timing issues
• Collaborative team player who thrives under pressure
• Detail-oriented approach to mission-critical systems
• Passion for building systems that operate at extreme scale and speed

🌟 Why This Role:

• Work on some of the most performance-critical systems in the world
• Cutting-edge technology stack optimised for speed and reliability
• Opportunity to learn advanced low-latency optimisation techniques
• Collaborate with brilliant engineers pushing the boundaries of system performance
• Excellent compensation reflecting the specialised nature of the work
• Direct impact on system profitability through performance improvements

Ready to build systems where every microsecond counts?

Apply to learn more about this high-performance engineering opportunity!

#LowLatency #HighFrequencyTrading #SystemsEngineering #Cpp #PerformanceOptimization #TradingSystems #RealTimeComputing #HFT #TechJobs #London #NewYork #Chicago #ExecutionSystems #MarketData #Cplusplus

Client trading in crypto is an expensive business. If it’s not the cost of market leading technology, you’re certainly going to need a strong balance sheet to be taking seriously.

Thankfully, our client can boast about having both. This is a crypto trading firm which has an exceptional DNA; the world’s best technologists and traders have been reliably making money hand over fist for the past few years.

What this means, is that they are now looking to offer institutional clients with access to crypto liquidity in the US.

Your role in this setup, will be to build and manage client relationships, suggest/execute trades and drive revenue growth. In the words of who you’ll be working with: “I need someone who really knows how to get flow going!”

Your responsibilities?

• Client Acquisition & Relationship Management
• Trade Execution & Liquidity Provision
• Revenue Growth & Strategy
• Market Expertise & Thought Leadership
• Collaboration with Internal Teams

The expertise the team is looking for?

• 5+ years of experience in sales trading, execution services, or institutional coverage at a crypto trading firm
• Deep understanding of crypto markets (spot, futures, options, OTC) and trading dynamics.
• Existing network of institutional clients in crypto/traditional finance (strong rolodex required)
• Entrepreneurial mindset – comfortable being the first US hire and scaling the desk.

If you’re keen to take the bull by the horns and run with the buildout of a new desk, being compensated with maximum upside for the risk you’ll be assuming, please apply to the link.

Note: This is measured risk, given the firm has generated 9 figure profits with their on exchange trading activites.

Options Volatility Traders – Asia-Pacific

Location: Open across key Asia-Pac hubs (Singapore, Hong Kong, Sydney)
Experience: 3–5 years
Background: Major market maker or top-tier trading desk

We are partnering with a select group of hedge funds and proprietary trading firms to identify Options Volatility Traders as part of their strategic build-out across the Asia-Pacific region.

These firms are looking for individuals with a quantitative mindset, strong instincts for risk, and a passion for trading liquid options markets. You’ll be expected to bring a structured and disciplined approach to deploying vol strategies—alongside the creativity and edge that drive performance in competitive markets.

Ideal Candidate Profile

• 3 to 5 years of trading experience in equity options or index options

• Previously seated at a leading market maker or established options trading desk

• Proven P&L track record in relative value, vol surface, or dispersion strategies

• Strong grasp of market microstructure and vol behavior across Asia-based instruments

• Quantitative or technical academic background (Math, Stats, Physics, Comp Sci, Engineering)

• Coding skills (preferably in Python) for research, signal development, and backtesting

• Comfortable working in a fast-paced, high-autonomy environment

What’s on Offer

• High-impact roles within lean, well-resourced teams

• Direct access to capital, infrastructure, and support for strategy scaling

• Strong incentive structures aligned with performance

• Open to relocation support for top talent

If you’re currently in a strong seat but open to hearing what’s out there, or just curious about how your profile stacks up, we’d be happy to connect for a confidential conversation.

Title: Emerging Markets Rates & FX Portfolio Manager
Location: Flexible (US, UK, Europe, UAE)
Fund: Global Multi-Strategy Hedge Fund

Overview:
We’re working with a growing hedge fund that’s looking to add a seasoned Portfolio Manager to their Emerging Markets desk. This is a high-conviction hire for someone with a proven track record running EM Rates and/or FX strategies.

Key Responsibilities:

• Manage a discretionary or systematic EM Rates and/or FX portfolio

• Identify, execute, and risk-manage macro-driven trades across local and external markets

• Collaborate with internal teams across trading, research, and risk

• Maintain a disciplined investment process, focusing on risk-adjusted returns

What We’re Looking For:

• A live and verifiable track record of strong risk-adjusted performance (minimum 2–3 years)

• Expertise across EM local rates, FX, or sovereign debt (hard and/or local currency)

• Experience managing capital at a hedge fund, asset manager, or prop trading firm

• Comfortable with a platform or pod-based model, including working within risk and infrastructure parameters

• Willingness to relocate or work in a flexible, global setup

What’s on Offer:

• Competitive payout structure and platform support

• Full infrastructure with experienced risk, compliance, and operational backing

• Opportunity to join a growing team with a strong investment culture

Not all prop trading firms are created equal. If you’re a Quant Researcher who has previously considered a career move, you’ll likely have asked yourself the following questions, :

• What infrastructure will I have access to?
• What is the company’s true appetite for risk?
• What is the track record of the team / company I’ll be joining?

These are just a few questions that will be important to you if you’re skilled at turning raw data into alpha. After all, contributing directly to profitable strategies is no easy feat. Why move?

Well, we’re working with a global trading firm which has been consistently generating profits on a proprietary basis for decades, which is hiring the brightest minds in HFT to scale their fully algorithmic trading efforts.

You’ll be building HFT strategies at the core of this business by:

• Diving into petabytes of order book data
• Building predictive signals to incorporate into your trading strategy
• Partnering with world-class engineers to optimise the latency and execution of your strategy

What you’ll need to have done:

• Worked in a high-calibre proprietary trading firm / team before
• Built profitable trading strategies, in any market
• Partnered with developers before, seeing how your ideas in Python are deployed in C++

What you can expect to join:

• A culture which financial rewards curiosity, creativity and competitiveness
• Teams which are home to best-in-class professionals for their area of expertise
• A collaborative, intellectually stimulating environment where the best idea wins

If you like the idea of trading at the speed of thought, please apply with your most recent CV to the link attached.

A well-funded AI startup is building software to let anyone train AI models using the spare compute of their personal devices, an open, distributed alternative to billion-dollar clusters. Think: Folding@Home, but for training LLMs.

Founded by a team of Oxford grads and competitive programming talent, they’ve already raised ~$20M and launched a GitHub repo with 15k stars in four months. Now, they’re looking to scale their engineering team with a new wave of smart, ambitious developers.

This is a rare opportunity to work on distributed systems, low-level performance, and machine learning all in one, with the freedom to build in the open and ship quickly.

The Role:

• Build core infrastructure for decentralised AI training and inference.
• Contribute across the stack, from systems-level code to ML pipelines.
• Work closely with researchers and the founding team on a highly technical product.

Ideal Candidates:

• Exceptional programmers with a track record in competitive programming (ICPC finalists, IOI/IMO/IPhO participants, etc.).
• Graduates or early-career engineers preferred, the team is looking for high potential and hunger to grow.
• Strong generalist skills, fast learners, and a passion for building new infrastructure from scratch.

We’re working with a London-based AI startup building the world’s most accessible training infrastructure for large-scale AI models. Inspired by the ‘Folding@Home’ project, their mission is to democratise access to AI by allowing everyday users to contribute compute power via their personal devices.

Since launching in March 2024, they’ve raised ~$20M, open-sourced a project that’s gained 15k GitHub stars in under four months, and built a founding team with strong academic roots, including alumni from Oxford and top international competitions.

They’re now hiring a Machine Learning Researcher to join their team. You’d be joining early enough to influence the future of a high-impact, technical product, but with the backing of top-tier investors and strong early traction.

The Role:

• Conduct applied ML research to help make decentralised model training a practical reality.
• Contribute to both infrastructure and core ML problems, including training dynamics, distributed optimisation, and scaling laws.
• Collaborate closely with software engineers to productionise your ideas and open-source contributions.

Requirements:

• Strong background in ML research, recent postdocs or early-career researchers welcome.
• Experience working on model training (LLMs, diffusion models, or related).
• High levels of curiosity and a bias toward experimentation and building.
• Ideally, competition experience (ICPC, IOI, IMO, IPhO)

Location: Remote | Open to candidates based in the UK, Europe, Hong Kong, Singapore, or Australia

A leading digital asset trading firm is seeking talented Software Engineer (Jnr up to Team Lead) to join their low-latency trading systems team. Operating across more than 10 global locations and connected to over 50 trading venues, they are one of the most active participants in the cryptocurrency markets—facilitating 3-4% of global daily trading volume.

The firm is known not just for its scale, but for its engineering-driven culture. They hire exceptional people and empower them to take ownership, move quickly, and solve meaningful problems. With a flat structure and fast feedback loops, this is an opportunity to contribute directly to the design and performance of world-class trading systems.

The Opportunity

This role involves developing and optimizing the low-latency infrastructure that underpins the firm’s high-performance trading operations. Candidates will work closely with traders and other engineers to evolve a system capable of processing millions of transactions per day across centralized and decentralized platforms. The core stack includes C++ and Python, and systems are designed to operate at microsecond latencies under heavy load.

Key Responsibilities

• Design, implement, and optimize components of the firm’s low-latency trading infrastructure in C++ and Python
• Collaborate with traders, middle office, and engineering stakeholders to understand requirements and deliver effective solutions in both CeFi and DeFi environments
• Own deployment and monitoring of trading system components in production
• Investigate and resolve production issues with a focus on uptime and performance
• Identify architectural and algorithmic improvements to reduce latency and increase throughput
• Contribute to technical discussions, design reviews, and code reviews

Candidate Profile

• 5+ years of experience developing performant, production-grade software
• At least 3 years of professional experience in both C++ and Python
• Deep understanding of algorithms, data structures, and systems programming
• Demonstrated ability to build low-latency, high-throughput systems
• Comfortable balancing rapid feature delivery with system robustness and reliability
• Willing to support the systems they build in a production environment
• Strong communicator, capable of articulating technical ideas clearly
• Holds a degree in Computer Science, Software Engineering, or a related field with strong academic results
• Interest in financial systems, market microstructure, or cryptocurrency trading is a plus

What They Offer

• The opportunity to work at the forefront of digital asset trading and contribute to critical low-latency infrastructure
• A fully remote and flexible working environment
• High degree of autonomy and the ability to influence both technical direction and business outcomes
• A collaborative, high-performance culture focused on solving hard problems at speed and scale

Candidates who are excited about tackling real-time systems challenges in a dynamic, high-stakes environment are encouraged to apply.

Shape the Interface to the Future of Autonomous Defence

Join one of the UK’s most ambitious AI-defence startups, backed by top-tier investors and moving fast. They are building intelligent systems that operate in high-stakes environments and looking for an founding level engineer to craft the interface through which humans will guide, trust, and collaborate with these machines.

What will I do?

You’ll own the design and development of the core frontend platform – the window into their technology. This means building responsive, intuitive UIs that distil complex data into insight, enable precision control of autonomous systems, and deliver situational awareness in real time. You’ll work directly with users (from engineers to field operators) and collaborate daily with top minds in AI, robotics, and systems engineering. You will define the technology stack for the frontend team, looking to grow to 5 engineers by end of 2025.

What They’re Looking For:

• Deep frontend engineering experience using modern JavaScript/TypeScript frameworks (React, Angular, or similar). Comfort designing frontend architectures in greenfield environments
• A CS or technical background – you understand what’s happening under the hood
• Bonus: experience with 3D/mapping libraries (Mapbox, Cesium, WebGL) or backend work in Rust, Python, or C++

Why Join Them?

• Mission with Impact – You’ll be building tools that have real-world significance in national security and defence.
• True Ownership – You’ll have end-to-end control over a mission-critical product, with direct access to users and real influence over product direction.
• Elite Team – Work alongside top engineers and researchers in a focused, no-ego culture that values initiative, creativity, and velocity.
• Startup Momentum – Competitive salary (up to £110k), meaningful equity, and the chance to grow with a fast-scaling company at the intersection of AI and defence.

A top-tier systematic trading firm is in the midst of a major global expansion. Backed by a proven track record of strong returns and cutting-edge infrastructure, they’re now seeking world-class talent across portfolio management, quantitative research, and AI leadership to help drive their next phase of growth.

• Asset Classes: Options, Futures, Equities
• Strategy Type: Fully automated (HFT or MFT)
• Requirements: Strong live track record with high Sharpe and significant PnL
• Compensation: Very generous PnL splits
• Ideal Backgrounds: Tier-1 options trading firms and top systematic platforms

Why Join?

• Remote Flexibility – Location-agnostic and open to remote setups in Europe
• Elite Infrastructure – A market-leading internal compute cluster supporting ultra-low-latency trading
• Strong Capital Base – Enabling rapid scale-up of successful strategies
• Collaborative Culture – High autonomy, deep technical focus, and performance-driven growth

A leading systematic hedge fund, known for its specialisation in FX market making, is expanding into the crypto space and hiring a Crypto Quant Trader to help drive this growth. This is a highly applied research role with full PnL ownership, reporting directly to the CIO.

What You’ll Do:

• Design and implement high-frequency, fully automated trading strategies
• Conduct market microstructure research across crypto spot, perps, and futures (no options)
• Build and refine trading infrastructure in collaboration with a small, expert team
• Operate in a greenfield build-out environment with room to scale a team over time

Who You Are:

• 3-10 years of experience in exchange market making (HFT only)
• Strong background in market microstructure research
• Python expertise (Java is a plus – core systems are in Java)
• TradFi background with a move or serious interest in crypto
• Builder mentality – someone who drives infrastructure and strategy

Team Vision:

• Crypto business currently in early build-out phase
• Opportunity to build out a team under you

For high-frequency researchers with a builder mindset and a passion for crypto market making, this is a rare ground-floor opportunity.

Python Quant Developer – Systematic Research Team – Established UAE Fund – UAE – $160k – 230k base (tax-free)

A well-established UAE-based fund is expanding its investment and research team, leveraging systematic strategies, data-driven research, and robust tech infrastructure to manage a diversified portfolio.

They are looking for a Python Quant Developer to join their front-office research team with the ideal experience being across Python, SQL, systematic trading, analytical skills (eg. financial data analysis), statistics (bonus), and Macro (bonus).

This individual will play a key role in the design, development, and enhancement of the fund’s proprietary trading systems, data analytics infrastructure, and systematic strategies. You will work closely with portfolio managers, researchers, and technologists to support and drive research, execution systems, and platform development.

Key Responsibilities:

• System development: Build, maintain, and enhance quantitative research tools and systems including analytics engines, trading models, and data pipelines
• Research support: Collaborate with investment professionals on the development and backtesting of systematic trading strategies, signal generation, and portfolio construction
• Data & analytics: Engage in data acquisition, cleaning, and transformation; apply statistical techniques and financial analysis to derive actionable insights from complex data sets
• Team collaboration: Interface with researchers, engineers, and portfolio managers to translate investment hypotheses into production-ready code and tools
• Best practices: Document system architectures and processes; conduct code reviews and knowledge-sharing to ensure high standards in engineering and research workflows

Ideal background:

• Strong Python and SQL programming skills, and highly proficient in handling financial datasets
• Experience in developing and implementing systematic trading strategies
• Strong analytical thinking with a background in statistics, econometrics, or data science
• Understand core financial concepts such as portfolio theory, risk models, and pricing of financial instruments
• Bachelor’s degree or higher in a quantitative discipline such as Computer Science, Engineering, Mathematics, or Quantitative Finance. Advanced degrees (MSc/PhD) are a plus
• At least 5 years of relevant experience in a quantitative research or development role
• Prior hands-on experience building production-quality tools for systematic research and trading platforms

Do you dream in pointers and measure time away from your keyboard in clock-cycles?

If so, I’m working with a development team for whom latency isn’t a metric, it’s treated as an existential crisis. They will need you (person who unironically loves 𝐜𝐨𝐧𝐬𝐭𝐞𝐱𝐩𝐫) to continue shaving off micros until they’re down into the nanos.

They treat undefined behaviour for C++2a and C++2b like a personal insult and will be very keen to hear if you have made 𝐬𝐭𝐝::𝐜𝐡𝐫𝐨𝐧𝐨 cry before. Other things that matter to them would be experience with lock-free programming and strong networking chops (gm Mr./Mrs. Kernel Bypass).

Bonus points if you’ve used 𝐩𝐞𝐫𝐟 to format your morning routine as well!

What this team offers in return:

• A comically powerful compute estate
• No legacy code (okay, maybe 1 or 2 𝐠𝐨𝐭𝐨 statements)
• A nerf gun arsenal for settling debates about RAII vs. GC
• Free therapy sessions (just kidding—valgrind –tool=callgrind is your therapy

A well-established market maker, expanding its quantitative research team following a successful 2024 and a strong start to 2025, is seeking a PhD graduate in New York. This role will focus on alpha generation, developing predictive models, and researching new strategies across liquid markets.

Key Responsibilities

• Apply statistical methods and analytical techniques to develop predictive models.
• Research and implement new trading strategies to enhance performance.
• Analyse existing strategies to identify optimisation opportunities.
• Develop risk models and frameworks to manage portfolio risk effectively.
• Build tools to automate research processes and improve data visualisation.

Candidate Profile

• Advanced degree (preferably PhD) in a quantitative discipline such as Science, Mathematics, or Engineering.
• Strong academic background with a history of challenging coursework and a high GPA.
• Exceptional problem-solving, mathematical, and quantitative skills.
• Proficiency in programming languages such as C/C++ and Python.
• Ability to work under pressure and solve complex technical and quantitative problems.
• Strong communication skills, capable of engaging with both technical and non-technical teams.
• Internship experience in a quantitative role
• Intellectual curiosity, self-motivation, and a collaborative mindset.

The firm values intellectual curiosity, problem-solving ability, and a passion for quantitative research in high-performance trading environments.

We’re working with a crypto trading firm which prides itself on having some of the most high performance trading infrastructure in the industry. Sure, there are limits to how fast the orders can reach an exchange but this team has future-proofed its infra all the same. 

So what skills do these engineers have and what would they like you to share expertise in?

They’ve come from firms where the work they did was measured in nanos, not micros and typically have the following skills:

Optimising hardware for performance (CPU / GPU).

• Can you leverage SIMD and multiple cores?

Exceptional memory management skills.

• Would you know why reference-counted smart pointers (e.g., std::shared_ptr) still lead to memory leaks?

Networking skills which reduce OS kernel involvement for direct hardware access. 

• When comparing RDMA and DPDK; which one is your go-to for HFT?

The team has not lost any Engineers since they joined the team. What does this tell us? They are paid market-leading compensation and the work they do is intellectually stimulating enough, that they don’t need to go elsewhere for the most fun challenges in crypto trading.

Prior experience in HFT is heavily preferred but if you have a strong track record solving these problems outside of that niche, you may still have a shot!

Work authorisation in Singapore and the US will be required. Sponsorship is available for exceptional candidates to relocate to the UK.

Middle Office Python Developer (Fixed Income) – Hedge Fund – New York – Up to $250k TC

A Fixed Income Global Macro fund is seeking a Middle Office Python Developer to join their team and play a critical role in building and supporting valuations and live PnL systems. This individual will primarily cover US trading hours, ensuring seamless operations for traders and resolving any issues related to trade booking and valuations.

The salary on offer is up to $250k total compensation. Candidates will be required to be in the New York office 3 days per week.

Key Responsibilities:

• Develop and maintain Middle Office systems for PnL and valuations
• Provide real-time support during US trading hours, troubleshooting trade booking and valuation-related issues
• Work closely with traders and operations teams to enhance system reliability and performance
• Build scalable, efficient, and high-performance software solutions

Requirements:

• Strong Python development skills, with additional proficiency in C#
• 5+ years of experience in software engineering within a Hedge Fund or financial services environment
• Deep understanding of Fixed Income products (FX Options, Inflation, Credit) – candidates will be tested on product knowledge
• Prior experience in Middle Office development, specifically post-trade systems
• Willingness to provide on-call support during US hours (not expected to be excessive but required while markets are open)
• End-to-end development experience – ability to work across the full software development lifecycle
• Previous experience with valuations or fund valuations is a plus

Data Scientist – Finance Applications – Financial Services Firm – UAE – Up to $180k base

A UAE based financial services firm are looking for a skilled Data Scientist with a passion for finance and AI to join an innovative and expanding team. The selected candidate will be at the forefront of refining large language model (LLM) outputs for financial applications, ensuring that the generated content is accurate.

The base pay for the role ranges up to $180k p.a. and there is an on-site requirement (5 days per week) in their UAE office.

Key Responsibilities:

• Oversee and enhance quality control systems for financial content generated by LLMs
• Develop quality metrics to evaluate the effectiveness and consistency of model-generated content
• Design and implement data pipelines for processing and analysing financial data
• Work closely with cross-functional teams to improve model performance, ensuring higher precision and relevance in financial contexts
• Apply domain expertise to enhance the financial knowledge representation in AI outputs
• Collaborate in an agile, technical environment with data scientists, engineers, and finance experts

Key Requirements:

• Bachelor’s degree in Finance, Computer Science, Economics (Macro), or a related field
• 2+ years of experience in finance, data science, or a related field
• Strong grasp of macroeconomics, financial markets, and investment principles
• Proficiency in Python programming and experience with data manipulation libraries (such as pandas) is a must
• Ability to design and implement efficient data pipelines and processing workflows
• Strong problem-solving and analytical skills
• Ability to articulate complex financial concepts clearly and effectively to both technical and non-technical teams

Preferred Requirements:

• Experience within the financial services industry (e.g., brokerage firms, investment funds, or banking) – in lieu of finance experience, a strong background in macroeconomics is required
• Research or consulting background with a focus on finance
• Knowledge of large language models (LLMs) and AI/ML optimization techniques (fine-tuning and architecture)
• Familiarity with natural language processing (NLP) and machine learning algorithms
• Master’s degree in a relevant field is a plus

What You’ll Get:

• Opportunity to work at the intersection of cutting-edge AI and finance
• A collaborative, tech-driven environment with like-minded professionals
• Room for growth and the chance to shape the future of financial AI applications

Exclusive Opportunity – Work Directly with the Founder

We are working directly with the founder of a well-known hedge fund to hire a Senior Portfolio Manager (PM) for Systematic Equities. This is a unique opportunity to lead a large, high-performing team and drive systematic alpha generation within a well-capitalized, institutionally backed platform.

For the right candidate, this opportunity may include a Separately Managed Account (SMA) structure, allowing for independent capital deployment while leveraging the firm’s best-in-class infrastructure, execution, and operational support.

The Role

This role is ideal for a senior-level Portfolio Manager with a strong track record in systematic equities and proven experience in managing large teams. You will oversee alpha research, portfolio construction, risk management, and execution strategies across global equity markets.

As a key hire working directly with the founder, you will have the opportunity to shape the next phase of systematic equity investing at one of the industry’s most respected firms.

Key Responsibilities

• Develop and scale systematic equity strategies (market-neutral, statistical arbitrage, factor investing, intraday/mid-frequency trading).
• Lead and manage a large team of quant researchers, traders, and engineers, ensuring a culture of innovation and performance.
• Oversee portfolio construction, risk management, and execution algorithms, optimizing for return stability and scalability.
• Utilize alternative datasets, deep learning, and machine learning models to enhance alpha generation.
• Deploy strategies globally, ensuring efficient capital allocation across regions and instruments.
• Manage and optimize execution algorithms to reduce trading costs and improve implementation efficiency.
• Potential to run a Separately Managed Account (SMA) for independent capital deployment while benefiting from the firm’s infrastructure.
• Collaborate directly with the founder and senior leadership to drive strategic initiatives.

Ideal Candidate Profile

• 10+ years of experience in systematic equity portfolio management at a hedge fund, asset manager, or proprietary trading firm.
• Proven track record of generating strong risk-adjusted returns (Sharpe 2.0+ over multiple years).
• Experience managing and scaling a high-performing team (10+ quants, traders, engineers).
• Expertise in quantitative modeling, portfolio optimization, and execution strategies.
• Proficiency in programming (Python, C++, R) and experience with cloud computing, distributed systems, and alternative datasets.
• Deep understanding of market microstructure, factor-based strategies, and portfolio risk management.
• Ability to operate independently within an SMA structure, efficiently managing capital and research initiatives.

Why This Opportunity?

• Direct access to the founder of a top-tier hedge fund, offering unparalleled strategic influence.
• Significant capital allocation with potential for a Separately Managed Account (SMA) structure.
• Full autonomy to build and scale a team, backed by world-class infrastructure and execution capabilities.
• Access to institutional-quality data, technology, and research resources.
• Highly competitive compensation package (base + PnL-based profit-sharing).
• A long-term institutional commitment to systematic equity investing, providing stability and scalability.

Next Steps

If you are an experienced Portfolio Manager with a strong track record in systematic equities and are looking for an opportunity to run a large team or manage an SMA within a leading hedge fund, apply now to discuss this exclusive opportunity.

About Our Client

Our client is a rapidly expanding buy-side firm specializing in systematic trading across derivatives and cash markets. With a strong emphasis on AI-driven research, they integrate deep learning and reinforcement learning into high-frequency and medium-frequency trading strategies to generate uncorrelated returns for institutional investors.

The Opportunity

Join an elite research team at the forefront of AI-driven quantitative trading. This role focuses on applying state-of-the-art deep learning techniques to options, futures, and structured derivatives markets, with direct exposure to real-time alpha generation, portfolio optimization, and execution strategies. You will develop cutting-edge models for forecasting market dynamics and optimizing trade execution in a systematic, data-driven framework.

Key Responsibilities

• Develop advanced AI/Deep Learning models for predictive signal generation in derivatives markets (volatility surfaces, term structure forecasting, order flow dynamics).
• Apply reinforcement learning to optimize execution strategies, market making, and hedging frameworks.
• Build and refine NLP-based models for extracting signals from alternative datasets (news sentiment, earnings call transcripts, options order flow).
• Enhance systematic options trading strategies (e.g., delta-hedging, volatility arbitrage, statistical arbitrage) using deep learning-based predictive frameworks.
• Deploy and optimize AI models in production with real-time inference and model adaptation to changing market conditions.
• Improve research infrastructure (scalable data pipelines, high-performance backtesting engines, deep learning model training frameworks).
• Collaborate with portfolio managers and execution teams to integrate AI-driven signals into risk-managed trading portfolios.
• Publish internal research on deep learning architectures for financial time series forecasting, reinforcement learning for derivatives trading, and explainability of AI-driven strategies.

Ideal Candidate Profile

• 5+ years of experience in quantitative research, systematic trading, or AI-driven signal development at a top-tier hedge fund, prop firm, or high-frequency trading firm.
• Strong track record of alpha generation in derivatives markets (Sharpe ratio, risk-adjusted returns, and execution efficiency).
• Expertise in AI/Deep Learning frameworks: PyTorch, TensorFlow, JAX, or Hugging Face Transformers.
• Strong programming skills in Python and C++ (for low-latency research and execution).
• Advanced degree (PhD preferred) in AI, Machine Learning, Quantitative Finance, or Computational Sciences.
• Deep knowledge of:
  • Neural networks for time-series forecasting (LSTMs, Transformer models, CNNs for market data).
  • Reinforcement learning for execution optimization (Q-learning, PPO, AlphaZero-style models).
  • Generative models for synthetic data generation (GANs, VAEs, diffusion models).
  • Derivatives pricing models (stochastic volatility, Monte Carlo simulations, local volatility).
  • Market microstructure and high-frequency trading for listed options and futures.
  • Portfolio optimization under liquidity, margin, and regulatory constraints.

Why Join?

• Be a key player in an AI-first quantitative research team, working with top-tier hedge fund PMs and AI researchers.
• Work with exclusive datasets (tick-level options data, alternative data partnerships, deep order book data).
• Access to world-class compute resources for deep learning model training and high-performance AI-driven research.
• Remote-first culture with flexibility to work from anywhere, while engaging with top-tier talent in AI and systematic trading.

Design cutting-edge FPGA solutions for ultra-low-latency trading systems in fast-paced HFT environments. Leverage your Verilog skills and collaborate with experts to drive peak performance and innovation.

A leading investment firm is seeking an experienced Quantitative Analyst to strengthen its investment strategies. With over a decade of incorporating quantitative strategies into their investment process, the firm is looking for someone with more than seven years of experience in quantitative research and financial modelling. In this role, you will collaborate closely with fundamental portfolio managers to develop and refine models that provide data-driven investment insights.

Key Responsibilities

• Develop and maintain quantitative models to support investment decision-making.
• Work closely with fundamental portfolio managers to integrate quantitative insights into investment strategies.
• Analyse financial and market data using statistical, econometric, and AI/ML methodologies to identify trends and opportunities.
• Identify, evaluate, and integrate internal and external data sources.
• Develop scalable tools and processes using R or Python.
• Communicate findings clearly, ensuring transparency in model development, assumptions, and outputs.

Ideal Profile

• 7+ years of experience in quantitative analysis and financial modelling, with expertise in equities and factor investing.
• Master’s degree in Mathematics, Statistics, Computer Science, AI, or a related quantitative or engineering field.
• Proficiency in R/Python for data analysis and model development.
• Strong data science skills, including data cleaning, predictive modelling, and feature engineering.
• Ability to adapt to emerging technologies and integrate AI/ML techniques, including large language models (LLMs).
• Excellent communication and collaboration skills to bridge quantitative research with fundamental investment decision-making.

Please be aware that this role is not eligible for US work permit sponsorship.

About the Company:
Join a leading global macro fund renowned for its cutting-edge technology and innovative approaches. Due to recent success, the fund is expanding its Macro NLP team and is seeking an exceptional NLP Researcher to join their growing team.

The Role:

As an NLP Researcher in Macro Futures, you will apply your expertise in natural language processing to develop and leverage advanced NLP models for proprietary data. You’ll play a pivotal role in a team that leverages cutting-edge AI techniques to tackle complex challenges.

Key Responsibilities:

• Develop and implement NLP techniques for macro futures strategies
• Conduct research and analysis to improve trading models
• Work closely with the Quant Strategy team to apply AI in live trading systems
• Collaborate with other teams to drive innovation and bring new insights into the firm’s trading strategies

Requirements:

• 0-3 years of experience in a quantitative research role, ideally with experience in NLP and Macro Futures
• Strong academic background in Computer Science, Machine Learning, Mathematics, or a related field
• Experience with NLP techniques applied to financial markets is highly desirable
• Familiarity with quantitative research in the Macro Futures space from top-tier buy-side firms.
• Strong programming skills in Python, C++, or similar languages
• Ability to work well within a fast-paced and high-pressure environment

Apply now! If you don’t receive a response within three days, unfortunately, your application has not been successful.

A leading systematic hedge fund, known for its collaborative, research-driven culture, is seeking a Machine Learning Specialist to apply cutting-edge ML techniques to enhance trading strategies and infrastructure.

This is a first-of-its-kind role, where you will act as a subject matter expert in ML, working across asset classes and strategies to develop scalable, high-impact solutions.

With a highly selective team (predominantly Ivy League/Oxbridge grads) and a multi-strat, multi-asset approach, this firm offers a unique opportunity to shape the future of machine learning in systematic finance.

Key Responsibilities:

• Develop & Apply Machine Learning Solutions: Identify opportunities to integrate ML into alpha generation, execution, and risk management.
• Cross-Team Collaboration: Work with quant researchers, traders, and engineers across equities, macro, and volatility strategies.
• End-to-End Implementation: Own the ML research pipeline, from feature extraction to production deployment.
• Stay at the Cutting Edge: Leverage advancements in deep learning, NLP, reinforcement learning, and other AI techniques to enhance systematic trading.
• Multi-Asset Coverage: Apply ML methodologies across equities, vol (rates/converts), commodities, FX, and credit.

Ideal Profile:

• PhD or Master’s in Machine Learning, Computer Science, Applied Mathematics, or a related field, with a strong publication record in top ML/AI conferences.
• First-Principles Thinker: Ability to craft ML solutions tailored to high-performance trading environments.
• Extensive NLP & Feature Engineering Experience: Strong focus on scalable data analysis for signal generation.
• Strong Programming & ML Stack: Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, and distributed computing.
• Quantitative Finance Exposure: Preference for candidates with quant experience, not just pure AI/ML backgrounds.

About the Company

This elite trading firm is redefining market-making across traditional and emerging asset classes, including cryptocurrency. The company builds all its systems from scratch, free from legacy constraints. They are expanding rapidly, leveraging advanced machine learning and cutting-edge C++ engineering to drive their trading strategies.

The Opportunity

They are looking for Mid to Lead C++ Software Engineers to design, develop, and optimize ultra-low-latency trading systems. This is an opportunity to work at the intersection of high-performance computing, algorithmic trading, and machine learning, making a direct impact on the firm’s success.

What You’ll Do

• Build and optimize high-frequency, low-latency trading systems for new and existing markets.
• Collaborate closely with quants and traders to implement sophisticated trading strategies.
• Solve complex performance challenges in a fast-paced, research-driven environment.
• Work alongside some of the best minds in quantitative finance, engineering, and AI.

Who They’re Looking For

• Extensive C++ experience, with a focus on performance, concurrency, and optimization.
• Deep knowledge of low-latency systems, HFT, market-making, or similar high-performance environments.
• Passion for solving complex technical challenges and pushing boundaries in trading technology.

Only considering candidates with HFT experience

Apply now! If you don’t receive a response within three days, unfortunately, your application has not been successful.

Overview:

Join a small high-performance Systematic Prop Trading business. Working as part of Quant Research team, to analyse data, build models & signals for alpha generation, and manage risk.

Responsibilities:

Develop software solutions that leverage sophisticated statistical techniques and technologies to answer the most challenging questions in finance:

• Collaborate closely with Quants, Traders, and Developers – researching, developing, and testing execution and trading models
• Enhance and build a research infrastructure that can handle hundreds of thousands of tick-level signals
• Build a comprehensive, multi-market trading system to capitalize on relative value and statistical arbitrage opportunities

Requirements:

• Excellent C++
• Strong Python
• Write and deploy code in a production environment – where performance matters
• Computer Science (or similar) Degree from a Top 20 University

Compensation: £300k-£400k (depending on experience)

Feel your experience does not fit all these requirements? We encourage you to apply anyway!

Imagine joining a team of elite engineers, quants, and traders at the forefront of digital asset trading. This is your chance to step into an all-hands-on-deck start-up environment where cutting-edge technology meets high-performance finance.

This company, backed by some of the world’s most renowned VCs, is on a mission to redefine liquidity provisioning in the digital asset space. Their proprietary high-frequency trading (HFT) technology, built with advanced machine learning and stochastic control, gives them an edge in both centralized and decentralized markets. Now, they’re scaling their technology across the full crypto infrastructure value chain, and they need you to help make it happen.

The Role: Fullstack Engineer

In the first six months, you’ll be fully immersed, working side-by-side with traders and developers, delivering quick, high-impact solutions. This isn’t just about writing code, it’s about architecting and optimizing the very foundations of the company’s trading and infrastructure.

• Build and connect – Develop internal tools, improve trading infrastructure, and create seamless integrations across trading, finance, and compliance.
• Move fast, think smart – Tackle immediate deliverables while laying the groundwork for scalable, long-term solutions.
• Sit with the traders – Work directly with the Head of OTC Trading, a seasoned pro with a background in FX and traditional finance, who moves fast and provides direct feedback.
• Shape the company’s future – In a team of just 15, everyone plays a pivotal role. Your contributions will be visible and impactful from day one.

What You Bring:

• Must-have: Python (core backend; this isn’t a web dev role) & JavaScript
• Big plus: AWS and Pulumi / GUI development experience
• Good to have: Some C++ exposure
• Education: A strong academic background in Computer Science, Mathematics, Physics, or a related quantitative discipline.
• Mindset matters: Entrepreneurial. Proactive. Ready to own problems and build solutions. This isn’t for someone who waits for direction, you’ll thrive if you take initiative and love a challenge.

Why Join?

• Work with an elite team of builders and innovators in an ultra-fast-moving space.
• Direct access to leadership, no red tape, just execution.
• A once-in-a-career opportunity to shape a company’s trajectory in a high-growth industry.

This is an urgent hire, the team needs this person now. If you’re ready to dive in and build the future of digital asset trading, let’s talk.

Apply now! If you don’t receive a response within three days, unfortunately, your application has not been successful.

A cutting-edge quantitative trading firm is seeking skilled FPGA Engineers to contribute to their ongoing market expansion projects.

About the Client

This innovative firm provides liquidity in both traditional and emerging markets, including cryptocurrency, by leveraging advanced machine learning to power their trading strategies. The company prides itself on being free of legacy constraints, building all systems from the ground up. They are rapidly expanding into new markets, trading exclusively with their own capital.

About the Role

As a FPGA Engineer, you’ll play a critical role in:

• Develop and optimise FPGA-based solutions for ultra-low-latency trading systems.
• Integrate FPGA solutions into broader trading infrastructure in collaboration with software developers.
• Implement hardware-accelerated solutions for protocol parsing, order entry, and market data processing.
• Optimise timing, resource usage, and latency to achieve best-in-class performance.
• Monitor and troubleshoot FPGA performance in a live trading environment.

Why Join Us?

• Work in a fast-growing, results-oriented firm with minimal bureaucracy.
• Collaborate with some of the industry’s top engineers and researchers.
• Enjoy the flexibility of full remote work from anywhere in the world or choose to work from one of their hubs in cities like London or Dubai.

What We’re Looking For

• Proficiency in Verilog/SystemVerilog with experience in FPGA design.
• Hands-on expertise with Xilinx Vivado, Altera Quartus, and FPGA debugging tools (ILA, SignalTap).
• Experience in peripheral integration (10G PHY/MAC, PCIe) and custom network stack implementations (TCP/UDP).
• Strong programming and scripting skills in C++ or Python.
• Only considering candidates with HFT (high frequency trading) experience.

How to Apply

We encourage you to apply even if you don’t meet every requirement listed. If you have a strong background, proven experience, and the drive to learn, we’d love to hear from you.

Note: If you do not receive a response within three days, your application has unfortunately not been successful.

A global proprietary trading firm that has been a major player in traditional financial markets since the early ’90s. Over the past decade, they have expanded aggressively into emerging markets, including Digital Assets, and are now building out a cutting-edge AI-driven trading platform.

Why?

They are launching a new AI division to integrate cutting-edge machine learning, deep learning, and reinforcement learning techniques into their trading strategies. This is a high-impact, greenfield opportunity to shape the firm’s AI capabilities from the ground up, driving innovation in automated trading, predictive modeling, and decision-making systems.

What?

• Lead the research, development, and deployment of AI models for trading and market prediction.
• Architect and build scalable AI/ML infrastructure using Python, TensorFlow/PyTorch, and modern frameworks.
• Work closely with traders, quant researchers, and engineers to optimize execution strategies.
• Develop and implement low-latency, real-time learning systems in production.
• Leverage cloud computing and distributed systems to scale AI workloads.

Where?

Global presence with 10 worldwide offices, including London. This role offers remote flexibility, but a London base is preferred.

How much?

Expect highly competitive compensation, with a base salary of up to £300k + bonus + equity.

A crypto trading firm is on the lookout for Python Software Engineers to join their dynamic team. Specialising in quantitative trading, this firm is empowering blockchain projects and traditional financial institutions to thrive.

As a Python Software Engineer, you’ll work alongside developers, traders, and quantitative researchers on high impact projects.

Key Responsibilities

• Build and maintain systems for trading data, automated settlements, and real-time reconciliation.
• Work with cross-functional teams to enhance infrastructure and data systems.
• Ensure performance, scalability, and reliability of services.

Looking For

• 2+ years of Python experience and familiarity with C++ is a bonus.
• Experience with SQL databases and Linux.

If you’re a proactive, passionate developer with an interest in crypto, we want to hear from you! We encourage applicants from diverse backgrounds and value potential over experience, if you’re eager to learn, we’re here to support you.

Note: If you don’t hear back within 3 days, your application was unfortunately not successful.

Job Title: AI Engineer

About the Role

We are seeking a highly skilled AI Engineer to join  a leading investment management firm. In this role, you will design, develop, and deploy machine learning models and AI-driven solutions to enhance trading strategies, portfolio optimization, risk management, and financial forecasting. You will work closely with quant researchers, data scientists, and software engineers to leverage AI for making data-driven investment decisions.

Key Responsibilities

• Develop and optimize machine learning models for financial market predictions, portfolio management, and risk assessment.
• Build AI-powered analytics tools and data pipelines to process large-scale financial datasets.
• Research and implement cutting-edge deep learning, NLP, and reinforcement learning techniques for investment strategies.
• Work closely with quantitative researchers and traders to integrate AI models into trading and risk systems.
• Improve model performance through feature engineering, hyperparameter tuning, and model validation.
• Ensure AI models are explainable, robust, and aligned with regulatory requirements.
• Optimize execution speed and efficiency, leveraging distributed computing and cloud infrastructure where necessary.

Required Qualifications

• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Mathematics, or a related field.
• Strong programming skills in Python and experience with AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience working with financial data and applying AI/ML models in an investment or trading context.
• Familiarity with time-series forecasting, NLP, reinforcement learning, and generative AI techniques.
• Proficiency in data engineering, big data processing (Spark, Dask, Kafka), and cloud computing (AWS, GCP, Azure).
• Strong understanding of statistical modeling, probability, and optimization techniques.
• Ability to collaborate with quant researchers, portfolio managers, and technology teams.

Preferred Qualifications

• Experience working in a hedge fund, asset management, or proprietary trading firm.
• Knowledge of market microstructure, options pricing, and quantitative trading strategies.
• Familiarity with C++ or Rust for low-latency AI model execution.
• Prior experience in automated trading systems, alternative data, or AI-driven portfolio optimization.

This is an exciting opportunity to work at the intersection of AI and finance, solving real-world problems with cutting-edge technology. If you thrive in a fast-paced, intellectually challenging environment, we’d love to hear from you.

Job Title: UI Developer (Hedge Fund)

Location: London

Job Description:

We are seeking a talented and driven UI Developer to join a fast-paced, dynamic team within a leading hedge fund. As a UI Developer, you will play a key role in developing and enhancing user interfaces for our internal and client-facing applications. Your primary focus will be on building intuitive, visually appealing, and data-driven user interfaces using modern web technologies.

Responsibilities:

• Develop and maintain high-performance, scalable, and visually rich user interfaces for financial applications.
• Work closely with data engineers and analysts to visualize complex financial data, ensuring accurate and meaningful representation of critical metrics.
• Implement responsive and accessible designs, ensuring a seamless experience across various devices and platforms.
• Collaborate with cross-functional teams to define technical requirements, design specifications, and product features.
• Continuously improve the front-end architecture to ensure efficient, reusable, and maintainable code.
• Optimize web applications for speed and scalability.
• Participate in code reviews and maintain high coding standards.
• Stay up-to-date with industry trends and best practices, proposing innovative solutions.

Qualifications:

• Strong experience with React, JavaScript, and TypeScript.
• Proven experience visualizing financial data or working with data-heavy applications.
• Solid understanding of web technologies (HTML, CSS, RESTful APIs, and WebSockets).
• Experience with state management libraries (e.g., Redux, MobX).
• Familiarity with data visualization tools and libraries (e.g., D3.js, Chart.js, or similar).
• Strong problem-solving skills and attention to detail.
• Ability to work in a fast-paced, collaborative environment.
• Excellent communication skills and the ability to work effectively with both technical and non-technical stakeholders.
• Experience working in a finance or hedge fund environment is a plus.

Preferred Skills:

• Experience with data visualization frameworks in financial markets or trading platforms.
• Familiarity with CI/CD pipelines and version control (Git).
• Exposure to backend technologies or full-stack development.

This is an exciting opportunity for a UI Developer with a passion for finance and cutting-edge technology. If you thrive in a challenging, high-performance environment and are excited to work with financial data visualization, we would love to hear from you!

This team in the UAE has been founded by Quant industry veterans who understand the requirements to build a Quant business from scratch have the most resources anywhere pretty much (near infinite compute and data budgets with almost instant approvals). + a complete Data overhaul that will mean that data is not just abundant but clean and easy to access.

They are seeking exceptional QRs that can transform complex financial and alt data, and use AI/ML, to generate alpha across a variety of strategies/asset classes. This is led by an incredibly strong team of collaborative PMs that give the best environment to learn anywhere in the world, with additional flexibility on projects and scope to bring new ideas to the table.

What You’ll Do

• Leverage cutting-edge machine learning techniques to uncover hidden patterns in financial data and generate novel alpha strategies
• Apply machine learning algorithms to diverse, large-scale datasets from diverse source (financial and alt, huge data function delivering this).
• Create and test complex investment ideas in collaboration with their engineering team
• Participate in reading circles to stay current with the latest research. Share insights from conferences on stats/ML/Data Science.

What We’re Looking For

• Degree in a technical or quantitative discipline (statistics, mathematics, physics, electrical engineering, or computer science)
• All education levels welcome, from bachelor’s to doctorate
• Intermediate programming skills in C, C++, Java, Python, or similar languages
• Deep understanding of machine learning algorithms with the ability to modify and optimize them
• Hands-on experience applying machine learning to real-world datasets
• Experience developing and implementing sophisticated quantitative models to exploit market inefficiencies
• Published research in academic journals or conference presentations (preferred)

Why move to the UAE?

• Ranked top 5 safest cities in the world
• Top international schools; school fees are covered by this client for employee’s family
• Year round sunshine; you can work from your home country in July/August
• Huge tax benefits

Quant Hedge Funds have flocked to the UAE over the last few years, mainly starting by moving over Senior PMs from other regions to setup their strategies from here. Now that there is enough of a presence, the supporting functions of these Quant businesses are growing in the region, after previously being serviced from other locations.

Role:

There is a wide range of Data responsibilities within this QR team, so the hire will need to be a savvy data engineer with experience wrangling data, optimising data systems as well as building new ones from scratch:

Responsibilities:

• Onboarding new datasets (financial, alt, structure and unstructured
• Data cleaning, standardisation etc
• Data streaming, pipelining etc
• Data Analysis
• Interface with Quants, PMs and QDs to understand the data needs of their research

Required Skills:

Here’s a list of interesting things that clients are interested in seeing:

• Python
• SQL
• AWS/Azure/GCP
• Airflow/Snowflake exp. is plus
• CI/CD + DevOps exp. is a plus
• Exp. with common financial data sets (e.g. Bloomberg, Refinitv, FactSet, S&P Global, CapIQ etc)

A top Crypto Quant fund (backed by TradFi) is looking to hire a Quantitative Researcher to spearhead their Execution research function. This is a unique opportunity to be the first dedicated hire in this area, with the potential to shape and lead execution strategies and infrastructure.

Role Overview

As the Execution Quantitative Researcher, you will play a pivotal role in establishing and advancing execution research efforts. This is an exciting opportunity to be the inaugural hire in this domain, allowing you to define and lead our execution strategies from the ground up and learn on the job.

Key Responsibilities

• Strategy Development: Create and enhance execution strategies aimed at capitalising on new alpha signals over various time frames, ranging from seconds to hours.
• Slippage Minimisation: Optimise order placement and scheduling techniques to effectively reduce slippage during trades.
• Market Impact Modeling: Develop comprehensive market impact models and seamlessly integrate them into the portfolio optimisation framework.
• Backtesting Validation: Leverage internal trading data to validate and improve backtesting engines, ensuring robust performance analysis.
• Collaborative Research: Work closely with fellow researchers to contribute to the overall development of trading strategies and methodologies

Qualifications and Skills

• 2-8 years in Quant trading and Execution Research
• Strong background in market microstructure analysis, transaction cost analysis (TCA), and simulator design
• Proficient in Python; C++ knowledge is a plus
• Familiarity with utility function design, rules-based logic for order execution, and multi-period optimization preferred
• Advanced degree in a quantitative field (e.g., Computer Science, Mathematics, Physics)
• Crypto trading experience is a plus but not required

DeFi Software Engineer (Strategy Development) – Fully Remote

About the Business

Durlston Partners are representing a high-frequency trading firm operating 24/7/365 in the global cryptocurrency markets, with offices in New York and Hong Kong. Their team is composed of world-class talent across five continents, is one of the largest participants in the crypto market, trading a significant share of market turnover.

About the Role

This is an exciting opportunity, reporting into the CTO, to develop trading systems for cryptocurrencies in the rapidly evolving digital asset space. You will work closely with traders and experienced developers to enhance our DeFi connectivity and infrastructure, building mission-critical applications and tools for trading.

This is a flexible, cross-functional role, where you’ll collaborate across multiple teams on tasks such as:

• DeFi order management
• Blockchain and mempool inspection
• Wallet management and security
• Blockchain node management
• DeFi arbitrage desk construction

Role Responsibilities

• Develop and maintain DeFi order management tools using Python and TypeScript
• Build and support our DeFi trading core systems
• Manage and optimize our DeFi infrastructure, including blockchain nodes, validators, and secure environments
• Contribute to the design and security of our wallet management systems
• Analyze new DeFi projects, assess requirements, and set integration timelines
• Identify opportunities for system improvements
• Troubleshoot system issues as they arise
• Engage with the team in system design discussions, code reviews, and trading strategy brainstorms

Role Requirements

• 5+ years of software engineering experience with Python and TypeScript
• 3+ years developing blockchain-related applications, including smart contracts or applications that interact with them
• Deep knowledge of popular blockchain protocols (e.g., Bitcoin, Ethereum, Solana, Avalanche)
• Strong programming skills with expertise in data structures and algorithms
• A balance between writing clean, testable, reliable code and rapidly deploying new features to seize market opportunities
• A reliable, detail-oriented mindset, with a strong sense of ownership over the systems you develop
• Excellent communication skills to articulate software concepts and designs clearly
• A Bachelor’s degree (or higher) in Computer Science, Software Engineering, or a related field with outstanding results
• Bonus: Experience developing in C++

Apply if you are passionate about the cutting edge of DeFi, and want to work in a high-performance, global team!

Work remotely and build the orderbook for a decentralised exchange in Rust!

Did employers learn nothing from the pandemic, for what they need to do to gain access to some of the best Software Engineers in the world? If you’re currently working for a firm which isn’t continuing to give you the flexibility you’d like; this could be a good fit for you.

You’ll be joining a lean team of engineers who are predominantly based in Europe, so it’ll be useful for you to be based -/+ 3 hours from UTC. They pride themselves on bullet-proof computer science fundamentals, collaboratively solving problems and shipping new features for a decentralised trading venue.

What can they be flexible on?

You might currently speak fluent C++ or Java but they’d be happy to interview you, providing you’re happy with the following points:

1. You back yourself to complete an interview process in Rust (which will include a take home assignment)
2. You have built a high performance execution engine in either crypto or TradFi before

What they can’t be flexible on?

1. You needing an office
2. Sponsorship; you’ll need to have the right to work where you are based currently
3. If you have no experience building an execution engine before

Keen to work remotely and develop expertise in Rust’s ecosytem whilst building one of the most promising projects in DeFi? Please apply!

Looking for Finance Data Scientist for a discreet fund in the UAE, sitting at the intersection of AI and Investment.

This position is dedicated to refining and enhancing outputs from large language models (LLMs) for financial applications, ensuring that the content is accurate, coherent, and logically consistent.

Key Responsibilities

• Oversee and enhance the quality control processes for financial content generated by LLMs
• Create and implement data pipelines for the processing and analysis of financial text data
• Work closely with the algorithm team to improve model performance and accuracy
• Provide domain expertise to enhance the representation of financial knowledge in LLM outputs
• Develop and apply quality metrics to assess model outputs
• Engage in development cycles and knowledge-sharing sessions with technical teams

Required Qualifications

• Bachelor’s degree in Finance, Economics, Computer Science, or a related discipline. Masters is a plus.
• 2+ years of professional experience in finance (funds, banks, fintech etc) or data science firms for finance.
• Strong grasp of macroeconomics, financial markets, and investment principles
• Experience with Python programming, particularly with pandas and data processing libraries
• Experience with machine learning libraries and frameworks
• Understanding of financial data sources and APIs
• Capability to design and implement data pipelines and workflows effectively
• Exceptional analytical and problem-solving abilities
• Strong communication skills with the ability to convey complex financial concepts clearly

Preferred Qualifications

• Familiarity with LLM fine-tuning and optimisation techniques
• Knowledge of NLP methods

Become employee #9 for a DeFi Exchange?

When it comes to teams in the crypto space, not all are made equal. Some don’t have the right backing, because the market doesn’t want what they’re building. Others have great backing but don’t have the right execution.

This team has the right backing AND the right execution. I’ve been recruiting for crypto firms for almost 8 years and have yet to see a team backed by so many of the biggest names in the industry, with real A-players responsible for building the product.

Sure, the headcount is currently small but the backing is mighty and there are unlikely to be many opportunities giving you the chance to have this amount of impact.

“Cool, so what will I be doing?”

You’ll be employee #9 of a firm building brand new services which will be powering onchain transactions. It’s likely to be a good fit for you if you love owning and shipping new features as quickly as possible, especially if you’d like to do so using modern web technologies. This may include:

• Creating a real-time UI for use by external trading counterparties, ensuring load times that are as fast as possible
• Implementing Web3 functionality; interacting with smart contracts, and handling transactions using libraries like web3.js or ethers.js

“How do I know if I’m a good fit?”

• You’ve built high-performance UIs for real-time systems before; it’s likely you’ll have done this in the quantitative trading space
• You’re comfortable working asynchronously with remote team members
• You pride yourself on having bullet-proof Computer Science fundamentals which may or may not have come from a top school
• You know modern JavaScript frameworks inside out and have a strong track record creating dynamic and scalable UIs
• You have a demonstrable interest in working in crypto to tackle novel engineering problems

Firm: Leading systematic fund in the UAE

Role: Lead UI/UX role, leading the design and development high-performance dashboards and user interfaces for real-time execution monitoring.

Responsibilities:

• Develop and maintain sleek, responsive UIs and dashboards for the execution team.
• Collaborate with traders and strategy developers to ensure seamless integration with backend systems.
• Build real-time data-driven interfaces, focusing on user-friendly and efficient design.

Requirements:

• Proven expertise in React and TypeScript/JavaScript.
• Experience building interfaces and dashboards for front-office or trading teams.
• Strong understanding of real-time data systems and their complexities.
• Bonus: Experience integrating frontend systems with backend trading systems.
• Excellent communication skills for working with stakeholders in fast-paced environments.

Tech Stack: React, TypeScript/JavaScript, Python

Perks: Up to $300k TC, 0% tax, 100% sunshine, full relocation support for you and your family.

Right role, wrong location? Please reach out for further information on what a relocation to the UAE could look like for you and your family.

Top international schools, low crime rates, and a strong sense of community appeal to many – but if you’re comfortable where you are please do reach out over email to discuss opportunities in your region.

Senior C++ Developer – High-Frequency Trading Firm (HFT) – London or Singapore (remote)– Up to £200k base

A leading trading firm based in London is seeking highly skilled Senior C++ Developers to join their expanding team. The company specializes in cutting-edge, algorithmic trading solutions for digital assets, focusing on enhancing performance through data-driven analysis, low-latency infrastructure, and innovative technologies.

Role Overview:

In this role, you will be responsible for designing and implementing high-performance trading platforms that process large volumes of data from global exchanges. You will optimize these platforms through advanced systems programming and minimize latency to ensure precision and reliability. You will also contribute to performance analysis and work on tools that track and measure system throughput.

Key Responsibilities:

• Design and develop a high-frequency trading platform
• Integrate quotes and trades from multiple exchanges around the world
• Disseminate orders to exchanges with precision and speed
• Optimize systems with network programming and latency-reduction techniques
• Analyze the platform’s performance and identify areas for improvement
• Develop tools for real-time performance tracking and diagnostics
• Contribute to the growth of the engineering team, including participation in the interviewing process

Qualifications:

• A degree in Computer Science or a related field
• 8-10 years of experience in software engineering, particularly in C++ development
• Strong expertise in data structures, algorithms, and object-oriented programming (C++)
• Proficiency in English and Mandarin (requirement for Singapore location)
• Ability to manage multiple tasks in a fast-paced environment
• Working knowledge of Linux and experience in scripting languages like Python or Shell is beneficial
• Excellent problem-solving abilities and attention to detail
• Experience with cloud infrastructure and statistical performance analysis is beneficial
• Knowledge of financial markets, especially digital or cryptocurrency markets, is a plus but not required

Remote Golang Engineer – FinTech Startup – Up to £140k base + Stock Options

Our client is an early stage Fintech Startup led by a Team of Developers with backgrounds in the trading industry building cross-border payment technology.

The firm went live quite recently and has already attracted a good amount of investments and secured key clients – More than 50% of the team is in Tech and they are further investing in this function to sustain their growth.

What will you be doing:

• Work on both design and implementation of new solutions to improve the platform’s offering
• Build highly scalable/ resilient code to process 100’s thousands requests at high speed
• Come up with ideas to improve the platform

Tech Stack:

• Backend: Golang – Frontend: React
• Kafka / gRPC for messaging
• All code runs on K8s on AWS with ArgoCD and Terraform to manage infra and CI / CD pipelines

Requirements:

• Experience designing and implementing projects independently
• Professional experience building high-throughput / scalable systems in Golang
• Experience working in a startup / Fintech is a plus bot not mandatory

Benefits:

• Fully remote work – any time-zone between Lisbon and Dubai
• Home office set up (Up to $2000 USD)
• Equity scheme

Junior / Mid Software Engineer – Systematic Hedge Fund – Up to £180k TC

My client is a systematic hedge fund hiring a junior / mid software engineer to join the core tech team – this is a small team (<10 people) headed by the CTO (10+yoe in the buy side industry).

You will be building and optimising their risk platform (a low latency, distributed system calculating RTR for cross-asset strategies) and regularly interface with Quants from trading pods.

What’s in it for you:

• Working and learning from senior developers with multiple yoe in buy and sell side industry
• Exposure to front office and opportunity to join a trading team further down the line
• Building business critical application impacting all of the firm’s trading activity

Requirements:

• Experience building and optimising high-throughput systems in Java
• Background in Middle Office / Front Office preferred
• No exp / knowledge of Risk needed
• Exposure to Frontend tech (React ideally) would be ideal

Interested in learning more? Apply now! We’ll get back to all shortlisted profiles within 48 working hours.

My client is a well-established multi-strategy hedge fund hiring for a Junior / Mid Level Full Stack Engineer.

You’ll work in a flat-structured, centralised tech team (<10 people) headed by the CTO. They’re responsible for building tech solutions across multiple verticals (Trading, Risk, Operations…) and have direct exposure to Portfolio Managers. You will be working on data heavy applications and build responsive UIs for Portfolio Managers.

The firm average retention rate for engineers is 5+ years, they use a modern tech stack (Java21 / AWS / Docker / K8s) and devs work directly with end users (they don’t employs product / project managers).

Requirements:

• Commercial experience in React (UI, data visualisation) and Java
• Any experience with cloud tech / distributed systems is highly valued
• Experience in finance is ideal but not mandatory – a demonstrable interest is though

Apply now to learn more about this opportunity!

Options Strategist

A senior team is looking for an Options Strategist to join their mission of establishing a comprehensive options trading capability. This team focuses on systematic options trading within the group and aims to implement strategies across a wide array of asset classes, including equities, FX, and commodities. The strategist will be instrumental in developing options trading strategies that align with the fund portfolio. This is a pivotal moment to join, with the team and platform in the early stages, offering an opportunity to influence the future direction.

Key Responsibilities:

• Identify trading opportunities by analyzing market trends
• Engage in alpha research and strategy development, including idea generation and quantitative analysis
• Conduct extensive back-testing and performance evaluation
• Execute systematic trading with medium holding periods
• Initially concentrate on equities, with plans to expand into FX and commodities

Essential Qualifications:

• Proven experience in executing systematic options trading strategies
• Advanced degree (MSc/PhD) in a quantitative field such as Computer/Data Science, Physics, Statistics, Applied Math, or Finance
• Over 5 years of experience in financial markets
• Strong programming skills in Python, R, or similar languages
• Entrepreneurial mindset and approach

Business Analyst – Fixed Income Data Ops – London – Up to £130k + bonus

Join our client as a Fixed Income Analyst to power their dynamic data operations team, fuelling their enterprise platform with top-tier security analytics. You’ll be the backbone of Global Fixed Income, collaborating with Portfolio Management, Quant, and Credit Research teams to optimise their Fixed Income Front Office tech solutions.

At this client, they’re shaping the future of finance with bold investments in technology and data. Collaboration is key, and we’re seeking curious minds eager to learn and grow together.

Responsibilities:

• Solve complex problems using logic, analysis, and business savvy.
• Maintain transparent operations for daily deliveries.
• Ensure mission-critical software and data meet SLAs.
• Cultivate relationships with global teams to support data needs.
• Drive results with high energy and strong interpersonal skills.
• Independently troubleshoot and resolve data anomalies.

Qualifications:

• 3-6 years of operational experience.
• Strong academic background in Finance, Mathematics, or similar.
• Proficiency in data analysis tools (SQL, Excel, Python).
• Familiarity with Fixed Income analytics platforms like Bloomberg PORT.
• Preferred: Experience with various Fixed Income instruments and portfolio accounting systems.

If you’re ready to make an impact in a collaborative environment and drive innovation in the asset management industry, we want to hear from you!

Established Portfolio Manager/Trader with Proven Expertise

Major Buy Side client look for an established Portfolio Manager/Trader with a distinguished 5+ year track record in the financial markets. This role is designed for a seasoned professional who has demonstrated expertise in designing, developing, and managing highly profitable systematic trading strategies across diverse markets, including US Cash Treasury and Futures, Foreign Exchange, Equities, and Commodities.

The ideal candidate is a strategic thinker who has excelled in trading strategy design and research. Proficiency in high-level programming languages such as C++ and Python is essential. The role demands collaboration with our technology and trading experts to implement strategies effectively in production environments.

Key Contributions & Experience:

• Proven track record of at least 5 years in portfolio management and trading, with a focus on systematic strategies in various asset classes.
• Demonstrated ability to maintain and improve a 3+ Sharpe Ratio, ensuring fully automated, high-frequency to mid-frequency trading strategies, including overnight positions.
• Experience in managing strategies for CME Futures (all asset classes) and Cash US Treasuries.

Qualifications:

• Educational Background: Bachelor’s, Master’s, or Ph.D. in Engineering, Mathematics, Physics, Statistics, or Computer Science.
• Seniority: Minimum of 5 years of experience in a relevant role, preferably on a proprietary, quantitative, or electronic trading desk (investment bank, hedge fund, etc.).
• Skills:
  – In-depth experience in alpha generation and portfolio management.
  – Advanced programming skills in C++ and Python. Familiarity with Linux and code repository management is a plus.
  – A driven, self-motivated personality with a creative approach to problem-solving.
  – Strong communication skills, capable of presenting complex strategies in a clear and confident manner.

This position offers an exciting platform for a seasoned Portfolio Manager/Trader to continue their successful career trajectory in a dynamic and supportive environment. Be part of a team where your skills and experience are valued and where you can make a significant impact.

C++ Team Lead – High-Frequency Trading (HFT) Fund – Fully Remote

Are you an exceptional C++ developer with a proven track record in the fast-paced world of High-Frequency Trading (HFT)? Do you thrive on pushing the boundaries of low-latency systems to gain a competitive edge? If so, we want to hear from you!

We are a leading and secretive HFT fund, leveraging cutting-edge technology to stay ahead in the dynamic financial markets. Our commitment to innovation and excellence has positioned us as a trailblazer in the industry.

As a C++ Team Lead, you will play a pivotal role in shaping the technology strategy for our HFT operations. You will lead a highly skilled team of C++ developers in designing, implementing, and optimizing low-latency trading systems. This fully remote position offers a unique opportunity to contribute to the success of a top-tier HFT fund from the comfort of your own home.

Responsibilities:

• Lead a team of C++ developers in designing, developing, and optimizing high-performance, low-latency trading systems.
• Collaborate with quantitative researchers, traders, and other stakeholders to understand requirements and implement solutions.
• Provide technical leadership, mentorship, and guidance to the team to ensure the delivery of high-quality software.
• Stay abreast of industry trends, emerging technologies, and best practices to continually enhance the efficiency and performance of our trading systems.
• Collaborate with cross-functional teams to drive innovation and maintain a competitive edge in the HFT landscape.

Requirements:

• Proven experience as a C++ developer in a high-frequency trading environment.
• Strong understanding of low-latency system design and optimization techniques.
• Previous experience leading or managing a team of developers in a fast-paced and collaborative environment.
• Excellent problem-solving skills and the ability to thrive in a results-driven culture.
• Solid understanding of financial markets and trading concepts.
• Effective communication skills and the ability to collaborate with diverse teams.

Note: Due to the confidential nature of our operations, candidates may be asked to sign a non-disclosure agreement (NDA) during the interview process.

C++ Engineer (HFT) – Boutique Prop Trading firm – Amsterdam/London – Up to £750k+

A C++ Engineer role for a Prop Trading Firm where you will collaborate with the Trading System team to create and enhance trading systems across diverse markets.

This role involves extensive technical research and close collaboration with our quantitative analysts.

This opportunity is based in Amsterdam, but the business is happy to relocate and sponsor suitable candidates from London/abroad.

The business has developed state-of-the-art infrastructure built by ACM ICPC World Champions and experienced Engineers from the top Prop firms globally. They trade every asset class and some crypto but are looking to venture into emerging markets.

Culture:

The setup of the business is small collaborative teams, where you aren’t restricted to working on specific areas, you have full reign covering everything from idea generation to implementation and monitoring of live strategies. They heavily leverage ML within their infrastructure which has proven to give them a significant edge in the market.

They have plenty of support in place with centralised functions providing all the tools and infrastructure you need to focus on the more important and interesting aspects of research.

Requirements:

• A minimum of 3 years of professional experience as a C++ developer.
• Proficient in C++/modern C++ (C++17 and newer).
• Solid understanding of computer systems, including operating systems, networks, and performance optimization.
• Linux expertise is essential.
• Proven experience contributing to projects with complex architectures and high loads.
• Strong expertise in algorithms and data structures.

Benefits:

• Can offer large guaranteed comp (and maybe profit share) for the right candidate.
• Offer sponsorship, relocation packages, secure property, provide moving services and help with the tax discount setup.
• High impact roles with very strong engineering and infrastructure teams.
• Lots of company trips and internal competitions with great prizes (holidays etc).

For more information or a discrete discussion about opportunities similar to the above, please feel free to get in touch at [email protected]

**Significant compensation on offer for any referrals for this position**

ML Researcher (HFT) – Boutique Prop Trading firm – Amsterdam/London – Up to £750k+

A Machine Learning Researcher role for a Prop Trading Firm, being instrumental in pioneering research and advancing the development of high-frequency trading (HFT) strategies through the application of ML, DL, and RL techniques.

Your specialised knowledge will drive the automation of the quest for optimal trading strategies, ensuring our sustained success in the dynamic realm of finance.

This opportunity is based in Amsterdam, but the business is happy to relocate and sponsor suitable candidates from London/abroad.

The business has developed state-of-the-art infrastructure built by ACM ICPC World Champions and experienced Engineers from the top Prop firms globally. They trade every asset class and some crypto but are looking to venture into emerging markets.

Culture:

The setup of the business is small collaborative teams, where you aren’t restricted to working on specific areas, you have full reign covering everything from idea generation to implementation and monitoring of live strategies. They heavily leverage ML within their infrastructure which has proven to give them a significant edge in the market.

They have plenty of support in place with centralised functions providing all the tools and infrastructure you need to focus on the more important and interesting aspects of research.

Requirements:

• Possess a minimum of 3 years of experience within a high-performing ML team, refining your skills and expertise;
• Demonstrate a robust understanding of mathematical statistics and probability theory to make informed, data-driven decisions;
• Exhibit proficiency in Python programming for the effective implementation of ML algorithms;
• Showcase exceptional problem-solving abilities and thrive in a fast-paced environment;

Benefits:

• Can offer large guaranteed comp (and maybe profit share) for the right candidate.
• Offer sponsorship, relocation packages, secure property, provide moving services and help with the tax discount setup.
• High impact roles with very strong engineering and infrastructure teams.
• Lots of company trips and internal competitions with great prizes (holidays etc).

For more information or a discrete discussion about opportunities similar to the above, please feel free to get in touch at [email protected]

**Significant compensation on offer for any referrals for this position**

I’m currently working closely with a well established prop trading firm both systematic and discretionary, that have offices across London and Geneva.

They benefit massively from the commitment of its main investor, a leading shipping company with more than 40 years of expertise in bulk and wet freight.

Their focus is currently on commodities, with one systematic desk and are looking to diversify aggressively with the ambition to become a regulated Hedge Fund in the near future.

Role: Python Risk Developer

Salary: £200,000 TC

Location: London

Key Requirements:

• Tech ability in python is the main criteria: Experience working on application layers, using dashboard etc.
• Experience in Risk is highly beneficial
• Commodities experienced preferred, experience in development essential

Client:

We are working with a relatively new (and wildly successful) systematic hedge fund, launched by the ex-partners of a tier-1 player. Joining this firm presents the opportunity to shape the trajectory of their trading technology, within a close-knit highly collaborative team. You’ll be collaborating closely with researchers, assist in the integration of new datasets, and take ownership of enhancing their reference data systems.

Role: Software Engineer (Python)

Salary: Base up to $300k + bonus

Location: New York (4 days in office)

Tech stack: Python, SQL

Seeking:

• Highly proficient in Python, SQL
• Deep knowledge of financial instruments, market data and data vendors
• Ability to design and implement high-performance, scale-able data solutions
• Excellent communication skills and collaborative mindset
• Strong BSc/MSc degree in Computer Science (or other STEM discipline)

Offering:

• Up to $500k TC (or + for seriously strong players)
• Ambitious, high-calibre team environment
• Benefits – market leaders

For immediate feedback and to avoid disappointment, please apply now.

We will respond to all successful candidates shortlisted for this opportunity within 3 days and would advise all candidates to follow our company page for all the latest opportunities.

Are you a seasoned professional looking to make a significant impact in the world of ESG?

🔍 Position: ESG Senior Project Manager/Business Analyst

In this pivotal role, you’ll be the driving force behind our ESG agenda, planning, implementing, and managing a variety of projects that align with our sustainability goals. Your expertise in project management, deep understanding of ESG principles, and ability to build robust stakeholder relationships will be instrumental in shaping our sustainable future.

🚀 Key Responsibilities:

• Collaborate with business and technology teams to conduct in-depth analysis and produce high-quality project artifacts.
• Build subject matter expertise in key Investments areas, influencing and providing transparency across various projects.
• Lead collaborative partnerships across multiple business units, ensuring alignment with legal, compliance, and company-wide initiatives.
• Oversee the collection of ESG data, ensuring accuracy, transparency, and compliance with reporting standards.
  Integrate ESG considerations into decision-making processes, corporate policies, and governance structures.

💼 Requirements:

• 10+ years of Asset Management experience.
• Proven track record in Front Office Investment Management project delivery and business analysis.
• Excellent communication and problem-solving skills.
• Experience in facilitating stakeholder meetings and presenting to senior management.
• Proficiency in Microsoft Project, Excel, PowerPoint, and SharePoint

The chance to be a C++ Developer for a Dubai based Prop Trading Firm Specializing in Digital Assets?

Dubai, often considered a global financial hub, is actively striving to secure this title. Its allure lies in zero taxes and year-round sunshine, factors that effortlessly attract top-tier talent while fostering an environment where smaller firms can flourish without facing price competition from industry giants.

I am collaborating with an emerging proprietary trading company in Dubai, which is currently in its early stages of development. They are actively seeking dynamic C++ Developers to join their exceptionally skilled team and create trading platforms from the ground up.

Relocating to one of the world’s safest cities, while simultaneously doubling your income, appears to be an obvious decision. However, this opportunity offers much more than just financial gain.

In addition to the remarkable potential for growth and the substantial support from two prominent figures in the cryptocurrency world, this role presents a unique chance to acquire equity in a leading proprietary trading firm.

Moreover, it allows you to enrich your professional portfolio by contributing to the creation of trading systems from scratch, setting you apart from many C++ developers who primarily optimise existing systems. Your role will be pivotal in the continuous enhancement, development, and maintenance of their current trading systems, ensuring efficiency and reliability to uphold their competitive edge.

If you possess:

• A Computer Science degree or a related field from a prestigious university.
• Three years of commercial experience in C++ development.
• Proficiency in C++ within a Linux environment.
• Familiarity with Python (a bonus).
• A solid background in proprietary trading, market-making, or cryptocurrency firms.
• Exceptional communication skills.

Why should you apply for this role with my client?

• Contribute to the creation of innovative and exciting projects.
• Secure equity in a leading proprietary trading firm, on top of a competitive base salary and bonus structure.
• Enjoy life in the world’s safest and cleanest city.
• Access global health insurance coverage for both yourself and your family.
• This opportunity offers you an exciting path to advance your career in the dynamic world of digital asset trading.

Client:

We’re working with a California based Autonomous Driving startup whose mission is to make self-driving for everyone. They build autonomous driving software for automakers, based on a breakthrough in artificial intelligence that finally makes highway autonomy safe and scalable for the consumer car market.

They specialize in retrofitting existing vehicles with autonomous driving technology. This means they aim to make self-driving capabilities available for vehicles that were not originally designed for autonomous operation.

The team takes charge of both innovation and product development, tackling intricate challenges with pioneering technology while ensuring it’s ready for millions of customers.

Due to the background of the business’s founders and subsequent hires, they’ve already gone through several rounds of funding and are close to a monetization event (i.e your equity will mean something!). They have a unique USP which I can’t reveal till we speak on the phone.

Role: Model Engineer

Tech: Java or Python

Location: Mountain View (Relocation packages available)

Salary: Up to $275,000 Base + Equity

In this role, you will play a pivotal role in building and testing the models that literally drive our vehicles.

Requirements:

• Coding experience in Java, or Python.
• Professional experience working with real-world, physical data.
• Experience putting new models and code intro production
• Strong programming skills in object-oriented languages (functional programming is a plus)
• Ability to debug and optimize code.
• Working knowledge of machine learning, data engineering, and deep learning frameworks.

Nice to have:

• Quantitative / statistics background.
• Experience building neural networks from scratch.

Our client, a successful proprietary trading firm based in New York and London, is currently seeking to hire talented C++ Developers to join their London office. The firm leverages rigorous quantitative analysis and cutting-edge low latency trading systems to deploy intraday systematic and HFT trading strategies across multiple asset classes and products. As a member of their team, you will initially work on their internal crossing system, as well as expand and optimize their exchange connectivity systems.

Joining this team means you’ll have the opportunity to work on cutting-edge low latency trading systems, gain exposure to multiple asset classes, and contribute to a culture of innovation and continuous improvement. You’ll be part of a team of experts who are passionate about what they do and committed to excellence.

Requirements:

• Deep knowledge of modern C++
• Expertise in data structures and algorithms
• Experience with memory management/optimisation or experience working on latency sensitive systems
• Comprehensive knowledge of Linux system internals and networking
• Experience working on trading systems would be a plus

We will respond to all successful candidates shortlisted for this opportunity within 2 days and would advise all candidates to follow our LinkedIn company page for all the latest opportunities.

The chance to be a C++ Developer for a Dubai based Prop Trading Firm Specializing in Digital Assets?

Dubai, often considered a global financial hub, is actively striving to secure this title. Its allure lies in zero taxes and year-round sunshine, factors that effortlessly attract top-tier talent while fostering an environment where smaller firms can flourish without facing price competition from industry giants.

I am collaborating with an emerging proprietary trading company in Dubai, which is currently in its early stages of development. They are actively seeking dynamic C++ Developers to join their exceptionally skilled team and create trading platforms from the ground up.

Relocating to one of the world’s safest cities, while simultaneously doubling your income, appears to be an obvious decision. However, this opportunity offers much more than just financial gain.

In addition to the remarkable potential for growth and the substantial support from two prominent figures in the cryptocurrency world, this role presents a unique chance to acquire equity in a leading proprietary trading firm.

Moreover, it allows you to enrich your professional portfolio by contributing to the creation of trading systems from scratch, setting you apart from many C++ developers who primarily optimise existing systems. Your role will be pivotal in the continuous enhancement, development, and maintenance of their current trading systems, ensuring efficiency and reliability to uphold their competitive edge.

If you possess:

• A Computer Science degree or a related field from a prestigious university.
• Three years of commercial experience in C++ development.
• Proficiency in C++ within a Linux environment.
• Familiarity with Python (a bonus).
• A solid background in proprietary trading, market-making, or cryptocurrency firms.
• Exceptional communication skills.

Why should you apply for this role with my client?

• Contribute to the creation of innovative and exciting projects.
• Secure equity in a leading proprietary trading firm, on top of a competitive base salary and bonus structure.
• Enjoy life in the world’s safest and cleanest city.
• Access global health insurance coverage for both yourself and your family.
• This opportunity offers you an exciting path to advance your career in the dynamic world of digital asset trading.

Our client is an Alternative Data Vendor partnered with leading buy side, sell side and Private Equity funds – they have been growing steadily over the past 3 years (quadrupled in size) and have established themselves as a key player in the industry.

They’re hiring a backend engineer to help them sustain their growth. You will work on their core product, an AWS-based data platform processing 100’s GBs of data per month. You will be develop performant and reliable asynchronous APIs to pull, process and display large datasets at speed while also designing and implementing new products to expand their offering!

What’s in it for you?

• Fully remote work (anywhere in Western Europe / UK)
• Working on advanced tech platforms (Golang / AWS / Kafka and streaming tech)
• Bureaucracy free environment where you’ll have full ownership of your projects from day 1

Apply now to learn more about this opportunity!

I’m currently working closely with a well established prop trading firm both systematic and discretionary, that have offices across London and Geneva.

They benefit massively from the commitment of its main investor, a leading shipping company with more than 40 years of expertise in bulk and wet freight.

Their focus is currently on commodities, with one systematic desk and are looking to diversify aggressively with the ambition to become a regulated Hedge Fund in the near future.

Role: Python Risk Developer

Salary: £200,000 TC

Location: London

Key Requirements:

• Tech ability in python is the main criteria: Experience working on application layers, using dashboard etc.
• Experience in Risk is highly beneficial
• Commodities experienced preferred, experience in development essential

I am working with a huge fund in the Middle East, looking to grow their Systematic business tremendously as they deploy $100’s of billions into diverse global strategies.

The UAE is increasingly becoming “the place to be” for business. The majority of the established buy-side firms that we partner with have either made the move or are exploring, it in order to take advantage of their 0% tax regulations.

If you’re interested in the prospect of 0% tax and a never ending summer, it could be a game-changing move for your long-term prospects.

Role: Quantitative Developer

Location: Abu Dhabi

Tech: Python, C++, Java (Golang)

Salary: Up to £300,000

Example of experience my client is looking for:

• Experience in Execution, Back-testing and Productionising
• Implementation and Portfolio Construction experience
• Python/C++/Java
• Top University educational background

An Equities Stat Arb Fund based in Munich is looking to hire an experienced Python Quantitative Developer to play a crucial role in building out their cutting-edge systematic trading platform.

In this role, you will join a tight-knit team of 10 professionals, the majority of whom are researchers, and collaborate closely with another Senior Quantitative Developer. They are keen to find a proactive self-starter who can bring forth fresh ideas and positively influence their technological trajectory.

Responsibilities:

• Build and optimise their systematic trading platform.
• Create software solutions to assist researchers in extracting signals from data.
• Implement and productionise trading strategies alongside execution algorithms.
• Contribute to potential modelling and execution research in the future (optional).

Requirements:

• 3+ years of software engineering experience in the trading industry.
• Expertise in Python and willingness to work with other languages when necessary.
• Solid education background in Computer Science or related field.
• Currently based or willing to relocate back to Munich.

What they offer:

• Highly collaborative environment that places a premium on knowledge exchange.
• Immediate substantial impact as the second engineer within the firm.
• Incorporation of a profit-sharing scheme in the annual bonus structure.

We will respond to all successful candidates shortlisted for this opportunity within 2 days and would advise all candidates to follow our LinkedIn company page for all the latest opportunities.

Durlston Partners is collaborating with a proprietary trading firm based in London, known for using a combination of machine learning and algorithmic trading strategies to trade futures across major exchanges.

You’ll be joining a small yet dynamic, fostering an open and collaborative culture where every member contributes to both core strategies and the infrastructure.

Responsibilities:

• Developing statistical models for trading strategies
• Generating new trading ideas
• Analysing tick-level data for execution improvements
• Coding and productionising trading strategies
• Overseeing and managing production strategies

Requirements:

• 1-3 years of experience in a quantitative trading team, preferably intraday strategies or signals (either buy-side or sell-side)
• MSc or PhD Degree in mathematics or scientific field from top university
• Proficiency in Python
• Familiarity with statistics and machine learning
• Strong communication skills
• Right to work in the UK (unfortunately our client is not able to provide visa sponsorship at the moment)

We will respond to all successful candidates shortlisted for this opportunity within 2 days and would advise all candidates to follow our LinkedIn company page for all the latest opportunities.

Durlston Partners is collaborating with a pioneering Quant Trading firm in their search for an experienced Research Engineer who excels in solving large-scale numerical and computational problems.

In this role, you’ll work closely with the Research Team to deliver scalable solutions for their research infrastructure and facilitate the deployment of new models in live trading. The firm leverages cutting-edge statistical and machine-learning techniques to improve the research process and create novel algorithms for signals prediction.

In addition to offering an intellectually stimulating environment, this firm is renowned for providing highly competitive compensation packages that truly reward talent and commitment.

The role is open in both Chicago or London.

Responsibilities:

• Collaborate with research and technology teams to investigate novel research ideas, assess them through large-scale experiments, and develop scientific libraries to disseminate these discoveries and methodologies.
• Build the tools and engines that propel their platforms and models into live trading scenarios.
• Evolve to independently conceive, test, develop, and oversee research projects and processes.

Requirements:

• Expertise in Python and C++
• Track-record of solving large parallel computational problems
• Strong numeracy skills and mathematical background
• Experience building software in quantitative trading environments is beneficial, but also open to candidates outside of industry (Big Tech, AI, self-driving, etc..).
• Excellent software development practices
• Stellar academic background in a STEM field

We will respond to all successful candidates shortlisted for this opportunity within 2 days and would advise all candidates to follow our LinkedIn company page for all the latest opportunities.