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Quantitative Developer - Risk Analytics - Hedge Fund - London
- London, England, United Kingdom
- London, England, United Kingdom
About
This role offers the opportunity to work in a high-performing, front-office environment, building systems that directly support 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 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
Qualifications
Degree in Computer Science, Mathematics, Engineering, or a related quantitative field
5+ years in quantitative development, systems or platform engineering roles
Strong Python and hands on with SQL (DuckDB / Parquet)
C# skills building low‑latency data services (async I/O, efficient collections/serialization, profiling)
Time‑series and multi‑dimensional data modeling and access patterns
Experience with in‑memory databases/caches for ultra‑low‑latency analytics
Production experience on Linux and AWS (operability, monitoring, CI/CD)
Full software lifecycle ownership; excellent analytical/problem‑solving and communication skills
Candidates with relevant experience are encouraged to apply to find out more.
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Languages
- English
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