Quantitative Developer - Risk Analytics - Hedge Fund - London

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

Requirements:

  • 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.

Job Details

Company
Attribution Search
Location
London Area, United Kingdom
Posted