Oxford Knight is seeking a Quantitative Researcher to join a fully remote team. You will conduct research and trading, monitor executions and open positions, adjust system parameters, and propose automation to improve performance.
Ideal candidates will have 3+ years of algorithmic trading experience, a proven track record in the last 2–3 years, and own trading ideas. Strong Python experience and ability to thrive in a remote team are essential.
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Fully Remote Quant Researcher, Trading Systems & Markets 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.
