Data Engineer – Crypto – Up to £150k (DOE) + Bonus – Hybrid Our client is an innovative research and technology firm aiming to establish itself as a prominent player in the realm of digital assets. Operating as a globally distributed and decentralized team, the company maintains physical offices in Switzerland, London, and NYC. The […]
Data Engineer – Crypto – Up to £150k (DOE) + Bonus – Hybrid
Our client is an innovative research and technology firm aiming to establish itself as a prominent player in the realm of digital assets. Operating as a globally distributed and decentralized team, the company maintains physical offices in Switzerland, London, and NYC. The team is composed of experienced professionals from diverse backgrounds encompassing Crypto, Quantitative Finance, Technology, and Financial sectors. Bound together by a mutual passion for cooperative ideation, continuous learning, and inventive issue resolution, they are dedicated to pushing the boundaries of digital asset solutions.
About the role:
This role wields considerable influence, presenting the chance to make significant contributions to the advancement and oversight of the data engineering platform. The ideal candidate should possess strong technical prowess along with a proven ability to seamlessly collaborate with quantitative researchers, ensuring the streamlined processing, analysis, and management of an extensive and varied array of datasets that drive the quantitative investment process.
Responsibilities:
- Working closely with QRs to comprehend their precise data prerequisites and devising technical remedies that harmoniously mesh with quantitative strategies.
- Conceiving, producing, and refining resilient data pipelines that expedite ETL processes, bolstering quantitative research, analysis, alpha prediction, and execution.
- Instituting meticulous data quality assurance protocols to uphold the precision, dependability, and uniformity of data inputs and outputs.
- Assessing, selecting, and overseeing appropriate data engineering tools, technologies, and infrastructure, with an emphasis on scalability and automation.
Requirements:
- A minimum of 3 years’ involvement in data engineering within a quantitative hedge fund setting.
- A Master’s or Ph.D. degree in Computer Science, Engineering, Data Science, or a related discipline from a prestigious global institution.
- Competence in programming languages such as Python, Java, or C++.
- Hands-on familiarity with big data technologies like Hadoop, Spark, or analogous frameworks, as well as a robust command of SQL and relational databases.
- Capability to conceptualize and enhance data pipelines, data modelling, ETL processes, data warehousing, and data governance.
- Strong oral and written communication abilities, including the adeptness to collaborate effectively with quantitative researchers and other stakeholders, translating their prerequisites into efficacious technical solutions.
Due to the high calibre of hire the client is looking for, only candidates with hands on experience in the above requirements will be considered. If you would like to be considered for any of our other available opportunities, please email your CV to freya@durlstonpartners.com
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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. […]
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.
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New role as a Machine Learning Engineer for an algorithmic market maker based in London.
New role as a Machine Learning Engineer for an algorithmic market maker based in London.
The responsibilities for the role includes research, adding new features, and MLOps. You’d primarily focus on model optimization, at least initially, rather than building new models.
Requirements:
- Strong experience in ML modelling
- Fluent in Python
- Commercial experience from a start-up or big tech OR PhD graduates from a top university
- Some experience with Time Series Analysis or financial data
Please note that we are unable to offer sponsorship for this position.
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.
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Quant Analyst role for a Sports Betting Fund that is known for its innovative approach to sports betting
This Sports Betting Fund is known for its innovative approach to sports betting, employing quantitative strategies/techniques typically found in financial markets.
The current team consists of 3 people, so it’s a great chance to come in and make an impact with your background.
Responsibilities:
- Applying probabilistic models and ML techniques
- Improving the data pipeline and backtesting framework
- Building high-quality reporting tools
Requirements:
- Mathematics / quant background
- Coding skills in Python
- Modelling/ML experience
Benefits:
- Base salary up to £100k
- Hybrid work model
- Tech driven and modern tech stack
- Wide variety of projects
- Strong team of scientists and engineers
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.
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