Quantitative Developer
A leading boutique UK fund is looking for an accomplished Python engineer to join its expanding cross-asset trading team. This is a great chance to operate at the intersection of technology and quantitative research, building the core platforms that enable high-performance, systematic trading.
The Role
You'll work closely with portfolio managers and quantitative researchers to develop and enhance the infrastructure that supports the trading lifecycle. This high-impact role suits an engineer with strong software engineering fundamentals and hands-on experience in systematic investment environments.
What You'll Do
- Design, build, and maintain resilient, scalable systems supporting systematic trading strategies
- Collaborate with quantitative researchers to implement research tooling, workflows, and production pipelines
- Refactor and optimize code to improve performance, reliability, and low-latency execution in Linux
- Develop infrastructure for data ingestion, backtesting, research, and live trading operations
- Support production stability through rapid debugging, troubleshooting, and incident resolution
- Partner across teams to ensure technical delivery aligns with investment priorities
Who you are
- Bachelor's degree in Computer Science (or a related discipline)
- 4+ years of software engineering experience, including 3+ years supporting systematic/investment workflows
- Strong foundation in statistics, data-heavy computing, or similar technical fields
- Advanced Python expertise building production-grade systems in Linux environments