Quantitative Researcher — Alpha Strategy & Data Science

Quantitative Researcher — Alpha Strategy & Data Science

Full-Time 58500 - 71500 £ / year (est.) No working from home possible
Point72

At a Glance

  • Tasks: Develop and test systematic trading strategies using data-driven research.
  • Company: Join Point72's innovative Cubist Systematic Strategies team in London.
  • Benefits: Visa sponsorship, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on live trading strategies.
  • Why this job: Make an impact in finance with cutting-edge data science techniques.
  • Qualifications: Master’s or PhD in a quantitative field and strong Python skills required.

The predicted salary is between 58500 - 71500 £ per year.

Point72's Cubist Systematic Strategies in London is seeking a Quantitative Researcher to develop systematic trading strategies across liquid asset classes, including equities, futures and forex.

The role is based in London and offers visa sponsorship.

You will lead data-driven research, backtest ideas, evaluate new datasets, and collaborate with the team to deploy strategies in live trading.

A Master’s or Ph D in a quantitative field and 0–2 years of experience, plus strong Python skills, are

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Quantitative Researcher — Alpha Strategy & Data Science employer: Point72

Point72 is an exceptional employer that prioritises the well-being and professional growth of its employees in the heart of London. With comprehensive benefits including private medical insurance, generous family leave, and wellness programmes, we foster a supportive work culture that encourages career development within a dynamic global investment firm. Join us to be part of a team that values compliance excellence and offers unique opportunities for advancement.

Point72

Contact Details:

Point72 Recruitment Team

We think you need these skills to ace Quantitative Researcher — Alpha Strategy & Data Science

Quantitative Research
Systematic Trading Strategies
Data-Driven Research
Backtesting
Dataset Evaluation
Collaboration
Live Trading Deployment