Step into a fast-paced environment in a leading boutique hedge fund with £9bn under management: you will work side-by-side with quantitative researchers to build powerful, data-driven tools for research and trading. This is a hands-on role where you’ll design, deploy, and refine high-performance software, supporting cross-team initiatives to deliver cutting-edge solutions across all asset classes. This role is ideal for a developer passionate about finance, technology, and quantitative analysis.
Responsibilities:
- Develop and optimize Python-based software to drive data research and trading,
- Collaborate with quants to create tools that support advanced research and trading,
- Utilise modern software practices like version control and agile development,
- Work closely with quants to innovate across all trading teams.
Qualifications:
- MSc in Computer Science or similar,
- Very strong Python experience on Linux,
- Deep experience in financial services eg investment banks, funds,
- Long-standing background in quantitative software development.
Contact Detail:
Stanford Black Limited Recruiting Team