full-time
Quantitative Data Developer | Python | Leading Systematic Hedge Fund | London
Stanford Black Limited
- Employer
- Stanford Black Limited
- Location
- London
- Working pattern
- on-site
About the role
Build and optimize Python pipelines and high-performance workflows that transform complex financial and alternative datasets into reliable, research-ready data. Own datasets from initial investigation through production, collaborating with quantitative researchers and traders to support the development and evaluation of trading strategies. Requires strong Python engineering skills, including an understanding of performance and efficiency, and experience manipulating complex datasets with Pandas, Polars, or NumPy. Strong SQL skills and relational database experience are required; experience with financial data, quantitative research, or systematic trading is valuable.