Quantitative Researcher

Point72

London, United Kingdom
On-site
Python and handling large datasets
Data science practices
Feature engineering
Cubist Systematic Strategies deploys systematic, computer-driven trading strategies across multiple liquid asset classes

Job Summary

  • Cubist Systematic Strategies deploys systematic, computer-driven trading strategies across multiple liquid asset classes.
  • The role involves end-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation.
  • Joining the team provides a unique opportunity to be involved with the early stages of a product launch and develop within a growing team.

Matching Summary

Cubist Systematic Strategies deploys systematic, computer-driven trading strategies across multiple liquid asset classes.

Skills & Requirements

Must-have

  • Python and handling large datasets
  • data science practices
  • feature engineering
  • independent research abilities

Nice-to-have

  • interest in financial markets
  • machine learning experience
  • critical thinker
  • collaborative mindset

Key Requirements

  • MS or PhD in a quantitative discipline
  • 0-2 years of professional work experience
  • Commitment to the highest ethical standards

Work Rights

Not specified

Tailored Resume

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