Quantitative Researcher

Point72

On-siteentryPosted June 5, 2026

About the Role

Manage end-to-end quantitative research projects, including data management, hypothesis testing, statistical modeling, simulation analysis, and presenting results, focusing on scalable long/short equity strategies.

Requirements

Seeks candidates with strong analytical and quantitative skills in finance, computer science, or mathematics, particularly in quantitative equity investing, with solid regression modeling foundations and Python/SQL proficiency.

Full Job Description

ABOUT POINT72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.

JOB RESPONSIBILITIES

The internal alpha capture (IAC) team is focused on developing and implementing scalable long/short equity investment strategies that leverage insights from discretionary portfolio managers and analysts, using sophisticated risk management, portfolio construction and execution techniques.

This is an opportunity for students and researchers in quantitative finance, behavioral finance, and statistics to apply these techniques to solve niche practical investment challenges specific to a platform of equity portfolio managers. Specific responsibilities will include:

End-to-end quantitative research project management including data exploration, cleaning and management, research hypothesis testing based on economic rationale, statistical/regression modeling, realistic simulation analysis, and presentation of results to the broader group.

DESIRABLE CANDIDATES

Undergraduate, Masters, or PhD candidates or higher in finance, computer science, mathematics, or other quantitative discipline
Strong analytical and quantitative skills, particularly related to quantitative equity investing
Sound economic intuition when it comes to validating investment hypotheses
Solid regression modeling foundations (linear, ridge, logit, etc.)
Familiarity with fundamental data (estimates, actuals) and databases (compustat, ibes)
Familiarity with commercial factor models (Barra, Axioma, etc.)
Strong python skills, particularly in data manipulation and regression modeling
Familiarity with SQL and version control (GIT)
Commitment to the highest ethical standards