Quantitative Data Engineer
Qube Research & Technologies2 months ago
London, United KingdomMid Level
Responsibilities
- Collaborate with Quantitative Researchers and Traders to design datasets supporting systematic strategies and discretionary trading decisions.
- Extract, clean, and aggregate data from diverse raw sources and formats using QRT’s data framework.
- Manage the full onboarding process for new datasets from initial assessment through production.
- Investigate and resolve data issues to reduce the time required to make datasets available.
- Develop robust data extraction processes focused on correctness and data quality.
- Explore and implement improved approaches to data extraction and onboarding complex datasets.
Requirements
- At least 3 years of experience in Data Engineering or a similar role working with financial data.
- Advanced Python development skills, including experience with Pandas, Polars, and NumPy.
- Strong focus on code and data correctness and the ability to critically assess quality regardless of source.
- Experience with SQL and relational databases.
- Experience working with traditional and alternative financial datasets.
- Demonstrated interest in financial markets and applying data to investment research and trading.
- Experience within quantitative finance is beneficial.
- Excellent communication and collaboration skills with researchers, traders, engineers, management, and external data providers.
- Ability to operate effectively in a high-performance environment with rapid delivery cycles.
Benefits
- QRT offers initiatives and programs intended to support employees’ work-life balance.
- QRT is an equal opportunity employer that promotes an open and respectful workplace.
About Qube Research & Technologies
Qube Research & Technologies is a global quantitative and systematic investment manager that develops and trades data-driven strategies across liquid asset classes for institutional investors. The firm manages client capital and proprietary funds, earning management and performance fees. Founded in 2018 and headquartered in London, it operates with offices in 16 locations worldwide.