| Company | American Trading Firm and Liquidity Provider |
| Company Info | Founded in early 2000s in the USA this tech centric trading firms now has 700+ staff in 6 locations around the world, actively trading on over 200 markets world wide. |
| Job Title | Quantitative Research Data Engineer – Alpha & Analytics |
| Job Short Desc | Transform complex datasets into actionable trading insights. Join a collaborative quantitative team where Python, statistical analysis and innovative data engineering help uncover market opportunities and enhance research-driven strategies.
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| Salary | Variable based on experience |
| Locations | APAC - Singapore |
| Visa | Y |
| Job Summary | Join a high-performing quantitative research team as a Research Data Engineer, where data engineering, statistical analysis and financial markets converge. You will own the end-to-end lifecycle of alternative and vendor datasets, from ingestion and cleaning through normalisation, validation and feature engineering, creating high-quality data assets that support quantitative modelling and alpha generation. Working closely with researchers and data sourcing specialists, you will evaluate new datasets, uncover valuable market insights and build robust, automated pipelines with rigorous quality controls and monitoring. This is an opportunity to combine strong Python development skills with analytical thinking, financial curiosity and a scientific approach to problem-solving in a collaborative, technology-driven environment.
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| Criteria | | Build end-to-end pipelines transforming raw data into research-ready features. | | Collaborate directly with quantitative researchers to uncover potential trading signals. | | Automate data validation, monitoring and quality alerts using Python. |
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| Apply | Apply |