Cubist Quantitative Researcher

Point72

Chicago, United States
On-site
Quantitative research
Predictive models
Python programming
Cubist deploys systematic, computer-driven trading strategies across multiple liquid asset classes

Job Summary

  • Cubist deploys systematic, computer-driven trading strategies across multiple liquid asset classes.
  • Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative research with a focus on predictive models.
  • Responsibilities include idea generation, data analysis, hypothesis development and testing, alpha discovery, and trading strategy generation.

Matching Summary

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

Skills & Requirements

Must-have

  • quantitative research
  • predictive models
  • Python programming
  • SQL knowledge
  • analytical skills
  • hypothesis development and testing

Nice-to-have

  • academic research analysis
  • thought leadership
  • collaboration
  • detail-oriented
  • ethical standards

Key Requirements

  • B.S., M.S. or PhD in quantitative discipline
  • Programming in Python
  • Working knowledge of SQL
  • Willingness to take ownership
  • Ability to work independently and collaboratively

Work Rights

Not specified

Tailored Resume

Cover Letter