Quantitative Developer – Risk Analytics – Hedge Fund – London

Overview

Attribution Search is partnered with a leading global hedge fund, looking to hire a Quantitative Developer with a focus on Risk Analytics Systems.

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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