Quant Strategist - Entry-Level PhD/Postdoc
Radley James
A global financial technology firm providing liquidity and transparent trading solutions across markets. Operating in 30+ countries and over 200+ venues, the firm combines advanced research, trading expertise, and cutting-edge infrastructure to improve market efficiency. Its flat, collaborative structure and emphasis on applied research make it a strong fit for academically minded problem solvers. What You’ll Do As a Quant Strategist, you’ll work alongside traders, quants, and engineers to research and develop systematic trading strategies. You’ll: Build and test predictive signals using large, high-frequency data sets Improve and optimise existing strategies through rigorous analysis Develop risk models and tools for data exploration and automation Collaborate across global teams in a fast-paced, production-driven environment Your work will directly influence trading decisions and strategy performance. Qualifications PhD or Postdoc in Mathematics, Physics, Engineering, Computer Science, or related field from a top university Exceptional quantitative and analytical skills Proficient in Python and/or C++ Strong foundation in statistics, modelling, and data analysis Demonstrated ability to work on complex, open-ended problems - academic projects, research or publications are highly valued This is a full-time, on-site position. Relocation and visa sponsorship available. #J-18808-Ljbffr Radley James
Vacancy posted 2 days ago
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