Oxford Knight is expanding its Machine Learning and AI capabilities within a world‑class quantitative market‑making environment in London. You will use ML to extract signals from vast market data, build and test models and develop new trading strategies across cross‑asset teams.The role blends quantitative research, trading and software engineering, with freedom to experiment and to attend leading academic conferences.
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ML Researcher for Quant Trading — Collaborative Growth 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.
