Quant Developer : Elite Quant Fund : Python/C++
Listed on 2026-02-16
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Software Development
Python, Data Scientist
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 RoleAs a Quant Developer, you will:
- Collaborate closely with quant researchers to product ionise 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
- 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
- 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
Mid‑Senior level
Employment typeFull‑time
Job functionEngineering, Information Technology, and Finance
IndustriesFinancial Services, Technology, Information and Media, and Information Services
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