Quantitative Researcher

ABOUT POINT72

Point72 Asset Management is a global firm led by Steven Cohen that invests in multiple asset classes and strategies worldwide. Resting on more than a quarter-century of investing experience, we seek to be the industry’s premier asset manager through delivering superior risk-adjusted returns, adhering to the highest ethical standards, and offering the greatest opportunities to the industry’s brightest talent. We’re inventing the future of finance by revolutionizing how we develop our people and how we use data to shape our thinking. For more information, visit www.Point72.com/working-here.

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