Quant Developer : Elite Quant Fund : Python/C++ : £150-200k base plus huge bonus

We are partnering with one of London’s most selective and highest-performing quantitative investment funds to appoint a Quant Developer to their core systematic trading group. This is a confidential mandate for a team renowned for world-class engineering standards, scientific rigour, and a culture built around high impact and low ego.

The successful candidate will work at the intersection of quantitative research, data engineering, and high-performance software development — with code that moves rapidly from prototype to production and directly influences trading performance.

The Role

As a Quant Developer, you will:

• Collaborate closely with quant researchers to productionise models and design scalable research/tooling infrastructure
• Develop high-performance, robust code across Python and C++
• Build and maintain data pipelines, research platforms, and components of the live trading stack
• Optimise system performance, reliability, and throughput across large-scale datasets
• Contribute to architectural decisions across the full research-to-execution workflow

What We’re Looking For

• Exceptional programming skills in Python and/or C++, with a focus on writing clean, performant production code
• Strong understanding of core CS fundamentals (algorithms, distributed systems, profiling, testing)
• Experience in a systematic trading environment or quantitative data domain is highly advantageous, though not essential
• A problem-solver with the ability to work collaboratively in a highly technical, research-driven environment
• Humility, curiosity, and a desire to build systems that have real, measurable impact
• Computer Science or STEM degree from a good university

Why This Role Stands Out

• Opportunity to join a top-performing fund with a deeply technical culture
• Work directly with elite researchers and developers on complex, meaningful problems
• Highly competitive compensation with significant performance-based upside
• Exposure to world-class infrastructure, datasets, and compute environments
• A role where strong engineering truly drives investment performance