Durlston Partners

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.

Full Stack Developer (Java/React) – Hedge Fund – London – £90-120k base + bonus

Join a hedge fund that values your innovation, where bureaucracy and rigid hierarchies are replaced with a focus on helping you solve some of the toughest technical challenges in finance.

In this team, you’ll work closely with Quants and Portfolio Managers to develop and support a wide range of advanced front-office applications.

Over the years, they have cultivated a strong engineering culture: a small, tight-knit team operating with a fast-paced development cycle means code is released when it’s ready, and fast feedback loops ensure it takes just 20 minutes for code to get into production.

One of the reasons for their low staff turnover is that your ideas for adding new tools and technologies to improve automation or execution are always valued.

What you’ll bring:

• Solid Java development experience
• Web development experience in TypeScript/React
• Strong knowledge of at least one asset class such as Equities, Fixed Income or Commodities
• Computer Science fundamentals such as algorithms and data structures

Curious to learn more?
Hit apply, or drop me a message via DM on LinkedIn or via [email protected] for a chat about the role.

And if it’s not quite your thing but you know someone who’d be a great fit, send them our way – we have a generous referral scheme to thank you for the introduction.

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.

Trading Systems Developer – Systematic Hedge Fund – New York – Up to $180,000 base + Discretionary Bonus

If you’re an expert level Python developer working on the sell side and thinking it’s time for something new, somewhere smaller, sharper, and closer to the action – this could be the opportunity you’ve been waiting for.

Who you’ll join

A systematic, quantitative trading and research arm of a well-capitalised hedge fund, with a strong focus on alternative and commodity markets. The team is made up of experienced professionals from tier-1 firms, combining technical depth with serious market expertise.

What does that mean for you?

• Long-term stability – average tenure ranges from 5 to 8 years
• Low turnover and high morale – people enjoy working here and tend to stick around
• Growth from within – a focus on internal promotion opportunities

The Role

You’ll be supporting and improving the systems that keep everything running – from order management and portfolio accounting, to the internal tools the traders and researchers rely on. You’ll work closely with the business and get real ownership over your work.

What you’ll bring

• 5+ years in a similar development role
• Strong Python and SQL skills
• Comfortable with APIs and data exchange protocols
• Solid understanding of trading and financial markets
• Bachelor’s degree in Computer Science or a related field

If you’re currently working in a bank or large institution and feel like a cog in the machine, this role offers more autonomy, ownership, and visibility. You’ll be closer to the business, with a clearer line of sight to the PnL.

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

Applied AI Engineer – Autonomous Systems – London

You’re not just another engineer. You’re a problem-solver, a creative, and someone who thrives on autonomy.

How often do you get to shape the future of a company from the ground up? Here, you’ll have ownership from Day One – no red tape, no micromanagement, just trust in your expertise. You’ll work alongside brilliant minds, tackling some of the world’s hardest engineering challenges in robotics, computer vision, and AI.

This is your chance to build something meaningful. The growing wave of sensors, robots, and autonomous systems promises a safer, more productive world but only if the software and AI behind them align with our values. You’ll be at the heart of this mission, designing and deploying models that solve real-world problems.

What you’ll bring:

• 4+ years of experience applying ML in areas like scene understanding, multi-modal sensing, control/path planning, or vision-language understanding
• An MSc or PhD in Computer Science, Machine Learning, Robotics, or a related field
• Proficiency in Python, Rust, C/C++, or Java, and frameworks like PyTorch, TensorFlow, or JAX

Why join?

• Growth potential: Early-stage equity in a high-growth sector (European defence budgets are surging – 3.1% of GDP by 2029)
• Ownership: You’ll steer technical decisions and directly influence the product’s direction
• Elite team: Collaborate with world-class engineers and founders who are as hands-on as you are
• Perks: Generous equity, health/dental insurance, relocation support, visa sponsorship, and free breakfast and lunch daily

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!

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

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

Software Engineer (Python, PySpark, Rust and Go) – High Performance Data Infrastructure – UAE

Golang Developer – Fintech – Remote – £100-140k base + Equity

Who you’ll join

A fintech company focused on transforming payments for businesses and consumers in one of the world’s fastest-growing economies. The platform enables near-instant, low-cost international transfers, aiming to overcome the long-standing challenges of traditional financial systems.

About the Product

The backend is written in Go, and that’s what you’ll be using as the primary language. The entire suite of products is built in Go, and you will gradually take on more responsibility, owning these products end-to-end.

Given Go’s relatively recent emergence, we don’t expect you to have years of professional experience with the language – that’s fine! What matters more is a solid foundation in computer science fundamentals, strong OOP experience, and at least some demonstrable experience in managing development projects end-to-end using Golang. That means more than just API development.

What You’ll Bring

• 6+ years of professional software development experience
• Proficiency in Golang and experience building scalable, distributed systems
• Experience in full ownership of projects, driving them to completion

Given the nature of the system, which handles large transaction volumes, this position would especially suit someone with experience designing and developing trading systems – particularly if you’re eager to apply those skills at a mission-led company working to improve the lives of millions.

This position is remote, with a preference for UTC -2 / +3 time zones.

For an informal discussion and to discuss your expectations apply now [email protected]

If this role isn’t right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed.

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.

Security Engineer – FinTech – UAE – up to £130k base + bonus / 50,000 AED per month

Opportunities for hands-on security engineers doing truly impactful work in the UAE remain scarce, with most hedge funds keeping their core tech teams in London, New York, or Singapore.

This role is different. You’ll be joining a greenfield investment platform with a global team, headquartered in Abu Dhabi, working on cutting-edge security challenges.

You’ll work directly with someone with 15+ years DevSecOps experience from the trading and telecom sectors. This is a hands-on role – your Python expertise must extend beyond scripting to structured software development for security applications and tool integrations.

As a nimble engineering team, this position is best suited towards someone who enjoys working in a start up environment and has experience in security financial systems.

What you’ll need to bring:

• 5+ years experience
• Python coding (not just scripting)
• CI/CD
• Vulnerability assessment & penetration testing
• Experience implementing SAST and SCA tools
• Cloud security (Azure or AWS)

Benefits:

• Relocation support
• Children’s education allowance
• Work visa sponsorship

For an informal discussion and to discuss your expectations apply now – [email protected]

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

Front Office UI Development Lead

The Role:
A leading investment firm is seeking a Front Office UI Development Lead to spearhead the development of high-performance applications for portfolio managers, strategists, and risk teams. This role is instrumental in shaping the architecture and user experience of tools that enhance data analysis and decision-making in a fast-paced trading environment.

Responsibilities:

• Collaborate with portfolio managers and researchers to design and implement front-office applications.
• Work alongside quantitative developers to build robust and efficient system architectures.
• Ensure that the technical architecture of delivered products is scalable and maintainable.

Required Skills & Experience:

• Expertise in TypeScript and React for building single-page applications.
• Strong experience in architecting and designing UI solutions for financial applications.
• Ability to engage with end users, gather requirements, and translate them into actionable deliverables.
• Experience leading small development teams and driving technical direction.

Preferred Skills:

• Experience with JavaScript charting/visualization libraries.
• Familiarity with testing frameworks like Storybook and MSW.
• Knowledge of Electron for building desktop applications.
• Exposure to NoSQL and relational databases.
• Proficiency with Node.js and some Python for backend integrations.
• Strong grasp of common data structures and financial market data.
• Fixed income or broader financial markets experience is a plus.

Why Join Them?

• Work on cutting-edge technology in a collaborative and fast-moving environment.
• Partner with top-tier investment professionals to build tools that directly impact trading decisions.
• Join a team that values technical excellence, innovation, and continuous learning.
• Competitive compensation and a hybrid work model that supports flexibility.

This opportunity is ideal for a hands-on technical leader who thrives in a high-performance environment and enjoys solving complex problems with modern UI technologies.

Market Connectivity Infrastructure

We’re seeking a Lead for Market Connectivity Infrastructure to manage and enhance a globally distributed infrastructure. This role is crucial for ensuring rapid go-to-market execution and maintaining high-reliability SLAs for our Software Engineering and Trading teams. We’re looking for someone with deep technical expertise and a hands-on approach to problem-solving.

Your Responsibilities:

• Optimize and scale their existing infrastructure, including hardware market analysis and collaboration with third-party vendors.
• Drive initiatives to enhance performance, reliability, and scalability of market connectivity infrastructure.

What You Bring:

• At least two years of experience leading successful infrastructure projects.
• Proven ability to manage SLAs for mission-critical infrastructure.

Preferred Skills:

• Strong ownership mindset with a proactive approach to problem-solving.
• Hands-on experience with globally distributed bare-metal infrastructure.
• Expertise in designing and implementing SLAs for high-performance systems.
• Familiarity with Nomad, LXC, and advanced networking hardware.

Why Join?

• Work on high-impact challenges with room to innovate and grow.
• Join a team of world-class professionals in an international environment.
• Access to cutting-edge hardware and technology to push boundaries.

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

Quantitative Developer – Crypto Hedge Fund – London

Looking for stability in crypto? We’ve got you.

If you’ve already dipped your toes into the exciting (and often chaotic) world of digital assets but are now craving something more solid and structured – this is where you want to be.

Why Now?

You’ve seen crypto evolve, and the industry is maturing fast, with institutional-grade infrastructure and serious players stepping up. But there’s still so much potential to tap into – the industry is in a similar position to traditional hedge funds in the late 90s / early 2000s, with inefficient and fragmented markets and strong retail participation.

Why Here?

This hedge fund combines the agility of a start-up with the stability of a well-established brand and reputation. You’ll build a greenfield crypto market-making platform from scratch in Java, and will write and improve the trading strategies, in an environment that prioritises innovation and impact.

You’ll join a close-knit team that values your input and your experience. Whether it’s improving automation, optimising execution, or introducing new tools and tech, your ideas will be heard. Plus, you’ll work side-by-side with Senior and Lead Developers who has 20 years of systematic trading and low latency expertise. It’s a place where you can grow, without the bureaucracy.

Why You?

• You’re already working in crypto and have hands-on experience building trading systems.
• You’ve have a knack low-latency tuning and optimisation.
• Your Computer Science fundamentals are rock-solid – you know your algorithms and data structures inside out.
• You’ve led projects or owned significant builds, and you’re ready for the next big challenge.

This role is designed for a crypto insider who’s ready to swap the volatility of start-ups for the stability and resources of a hedge fund. You’ll still be on the cutting edge, building and innovating.

For an informal discussion and to discuss your expectations apply now – [email protected]

If this role isn’t right for you, but you know of someone who might be interested, we have a market-leading referral scheme in place to thank anyone who refers a friend who is successfully placed! T&Cs apply.

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.

Infrastructure Engineer – Proprietary Trading – Dubai – up to $100k USD base + bonus + equity

Are you ready to join the ranks of industry legends and become a key player in the world of digital assets trading? If you thrive in an environment where bureaucracy is a foreign word, and your dedication is rewarded with equity partnership, then we have an opportunity waiting for you in the UAE.

How can you determine whether this might be right for you?

• You can relocate to Dubai. To save time, let’s make sure that the conversation with anyone else relocating with you, happens before you receive an offer.
• One of your specialist subjects on Mastermind is: network architecture design, cloud infrastructure optimisation, trade monitoring infrastructure.

• Working in a small team to achieve outsized impact is a badge that you wear with pride.

What does a small team mean from a practical standpoint?

• Limited bureaucracy.
• Direct end-user feedback; Traders and Quants will be able to see exactly how you create value for them.
• Short development cycles; idea, prototype, implementation and tuning over a matter of days, not months.
• Transparency; two-way clarity on expectations and deliverables.
• Tax Free Income; the unrivalled feeling of opening your payslip and seeing a big fat zero next to Deductions.

There’s a lot I’ve intentionally left out, because your interview will assess you on more than how many years you’ve used Python, or if you have an AWS certification. That said, experience in a systematic trading environment will go a long way so best to assess this before hitting apply.

Apply with your most recent CV and I will answer any questions you may have!

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.