Oxford Knight is seeking a Python-focused Quantitative Researcher for a London-based latency team. You will analyze billions of trading data points and collaborate with trading teams to uncover actionable insights that drive infra and strategy.Ideal candidates have 2+ years in quantitative research, strong Python, ML, statistics, and optional C++/SQL experience; you’ll design data mining and machine learning solutions to create competitive edges in a high-performance environment.
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Python Quantitative Researcher: Latency & ML in London 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.
