Quantitative Developer - Trade Systems, Data Platform & Risk - Hedge Fund

Quantitative Developer - Trade Systems, Data Platform & Risk - Hedge Fund - London

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Attribution Search is partnered with a leading global hedge fund, looking to hire Quantitative Developers across both Trading, and Data Platform & Risk Analytics teams. These roles offer the opportunity to work in a high-performing, front-office environment, building systems that directly support systematic trading, portfolio analytics, and risk management across multiple asset classes. Responsibilities As a member of the team, you will be involved across the full software development lifecycle, working closely with quants, traders, and risk teams to deliver scalable and high-performance solutions. Depending on team alignment, responsibilities will include:

Developing and maintaining Python-based tools supporting systematic trading strategies Supporting the full lifecycle of trading systems, from research and backtesting through to production deployment and monitoring Building and maintaining data platforms and analytics systems covering P&L, VaR, scenarios, and exposure reporting Designing and optimising data ingestion, storage, and access layers for large-scale financial datasets Developing low-latency components in C# for performance-critical workflows Ensuring production systems are reliable, well-tested, and scalable Collaborating closely with stakeholders to translate business requirements into technical solutions

Requirements

Degree in Computer Science, Mathematics, Engineering, or a related quantitative field 5+ years’ experience in quantitative development, software engineering, or data platform roles Strong Python experience in a production environment Experience working with data pipelines, analytics systems, or trading platforms Exposure to high-performance or low-latency systems (C#, Java, or C++) Strong SQL skills and experience working with relational databases Familiarity with large-scale data processing and time-series datasets Experience with messaging systems (e.g. RabbitMQ, Kafka) Exposure to modern tooling such as Docker, Kubernetes, and cloud platforms (AWS) Understanding of systematic trading environments or financial products is beneficial Strong analytical and problem-solving skills Excellent communication and ability to work with cross-functional teams

Candidates with relevant experience are encouraged to apply to find out more. #J-18808-Ljbffr

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Location:: Greater London
Job Type:: FullTime

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