Senior Python Quant Developer
London (Hybrid)
The company
A growing fintech business building advanced analytics and execution technology for institutional clients across the derivatives space. Their platform is used by leading hedge funds and asset managers to support relative value, volatility, and macro trading strategies. The environment combines strong engineering standards with close interaction between trading, research, and technology teams.
The role
This is a senior engineering technology role focused on the core analytics platform that underpins pricing, screening, and execution workflows. You’ll play a key part in designing and evolving production systems used by traders, quants, and portfolio managers, with ownership across reliability, scalability, and performance.
The role would suit someone with strong platform engineering instincts who enjoys building robust systems in fast-moving trading environments. Direct derivatives knowledge is helpful, but strong engineering capability is the bigger priority.
What you will do
- Design and build core platform components including pricing services, APIs, and data pipelines
- Develop scalable ingestion and processing systems for market, macro, and time-series data
- Build internal tooling that improves how analytics and trading signals are developed, tested, and deployed
- Own the full software lifecycle across design, coding, testing, monitoring, and continuous improvement
- Create performant screening and trade discovery tools
- Work closely with traders and quants to turn analytical requirements into production systems
- Improve observability, deployment processes, and developer experience across the platform
What you will need
- Strong software engineering fundamentals across architecture, design, and quality practices
- 5+ years’ experience in platform engineering, quant development, data engineering, or software engineering within financial services
- Strong Python experience in production environments
- Exposure to C++ or Rust would be beneficial for performance-sensitive components
- Experience building data infrastructure such as APIs, pipelines, and time-series systems
- Good understanding of financial markets, ideally rates or derivatives
- Strong communication skills and ability to work across engineering, research, and trading stakeholders
Why consider it
- High-impact role working directly on trading-critical systems
- Strong blend of engineering depth and business exposure
- Close collaboration with quants, traders, and portfolio managers
- Opportunity to shape a growing platform in a high-performing fintech environment
Contact Ciara Clarke at Harrington Starr with your CV for a confidential discussion.