Quant Strategist - Entry-Level PhD/Postdoc
Radley James, New York, NY, United States
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.
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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