Role overview
- Evaluate and analyse a wide range of alternative datasets (transactional, behavioural, geospatial, web-derived, etc.) to identify potential trading signals
- Design and run experiments to assess data quality, stability, coverage and predictive power
- Build statistical and machine learning models to transform raw alternative data into usable features and signals
- Develop robust analytical frameworks to monitor signal decay, bias and performance over time
- Communicate findings clearly to quantitative researchers and key stakeholders, influencing research and trading priorities
What we're looking for
- A strong academic background in a quantitative field from a top-tier university
- 2–5 years of experience in a data science or research role within a hedge fund, market maker, or investment bank
- Demonstrated experience working with alternative data and assessing its real-world usefulness
- Advanced Python skills and strong SQL capability for large-scale data analysis
- A solid understanding of statistics, experimentation, and applied machine learning in noisy environments
- Please do not apply if you are looking for a contract or remote work
- Please ensure you meet the required experience section prior to applying
- Allow 1-5 working days for a response to any job enquiry
Tags & focus areas
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