Oxford Knight in London is seeking a Data Scientist / Quant to join a macro trading pod, working directly with the Portfolio Manager to influence trading decisions through data-driven signals.
You will develop and test quant signals (primarily Python), feed signals into PM models, and work with massive datasets to explore a wide range of indicators.
This is a high-impact role with strong bonus potential in a small, performance-driven team.
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Macro Trading Quant & Data Scientist β High-Impact Pod employer: Oxford Knight
Join a market-leading global hedge fund in London, where innovation meets technology in a vibrant and collaborative work culture. As a Storage Engineer, you'll have the opportunity to work with cutting-edge tools and some of the brightest minds in the industry, all while enjoying a competitive salary, bonuses, and a supportive environment that fosters professional growth and development. This is not just a job; it's a chance to redefine storage infrastructure in a dynamic setting that values fresh ideas and technical excellence.