Qube Research & Technologies
This role sits at the intersection of financial markets, data science, and engineering, supporting the discovery, evaluation, and integration of financial datasets for quantitative research and trading. The position involves collaborating with researchers and traders to translate business requirements into practical data solutions while managing the onboarding of new datasets, particularly in Macro markets. Key responsibilities include developing Python tools and data pipelines to extract, clean, and analyze financial data from multiple sources, as well as investigating discrepancies across data providers. The ideal candidate will have strong Python and SQL skills, a practical understanding of financial markets, and experience sourcing and processing financial data.
Headquarters
London, England, United Kingdom
Company Size
501-1000 employees
Founded
2018
Qube Research & Technologies (QRT) is a global multi‑strategy investment manager that combines data, research, technology and trading expertise to deploy diversified strategies across geographies, asset classes and time frames. Its multidisciplinary research teams — engineers, computer experts, physicists, mathematicians and data scientists — build automated, scalable platforms (from high‑turnover execution to multi‑year simulation) using languages like C++ and Python. QRT emphasizes large‑scale data ingestion and analysis, systematic trading and a rigorous, market‑making–informed risk management framework to pursue high‑quality returns. The firm is authorised and regulated in multiple jurisdictions, including the UK (FCA), Hong Kong (SFC), France (AMF) and Singapore (MAS).
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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