Data Scientist - Index Data
On-site · London, England, United Kingdom
Job Summary
Data Scientist focused on index data for Qube Research & Technologies. Collaborate with Quantitative Researchers, Traders, and Engineers to design and maintain index and ETF datasets powering systematic strategies. Prototype code to extract, clean, and aggregate data from diverse sources (index constituents, benchmark compositions, weightings, rebalancing schedules, ETF holdings/flows, and related reference data). Own onboarding of index/ETF datasets end-to-end, and innovate data extraction methods to improve the onboarding toolkit. Requires 2+ years in a similar role with index/ETF data, strong Python (Pandas/NumPy), and experience building data pipelines; postgraduate quantitative degree preferred. London location; global, technology-driven environment.
Required Qualifications
- Postgraduate degree in a quantitative discipline such as Mathematics, Physics or Engineering
- 2+ years of experience as a Data Scientist (or similar position) working with index or ETF data, benchmark data, or index-linked financial products; buy-side quant experience preferred
- Solid understanding of index construction, constituent methodology, rebalancing mechanics, ETF structure and flows, and the role of benchmarks in systematic and portfolio-level strategies
- Advanced programming experience in Python, including proficiency with Pandas and NumPy
- Proven experience building and managing data pipelines end-to-end; from sourcing and extraction through to cleaning, processing, and delivery
- Excellent communication skills and ability to collaborate with researchers, traders, engineers, management, and external vendors
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