Quantitative Portfolio Analyst – 2026 Grad

A CAREER WITH POINT72’S PORTFOLIO CONSTRUCTION & ANALYTICS TEAM Point72 is seeking an entry-level Quantitative Portfolio Analyst to join its Portfolio Construction & Analytics Team (PCAT) in the Office of the Chief Investment Officer (CIO). PCAT’s mandate is to study all drivers of success for Long/Short Equities investment professionals using data, analytics, and models of investor behavior and the market. These analyses are shared with portfolio managers to improve their strategies and with senior management to better allocate capital across investment teams.

WHAT YOU’LL DO

) in Finance or a STEM-related field, to be conferred Fall 2025 or Spring 2026 Intermediate or advanced proficiency in Python Experience with statistical models and essential methods of quantitative finance Excellent attention to detail, organization, and project management skills Ability to operate productively in a fast-paced, team-oriented environment Strong verbal and written communication skills Commitment to the highest ethical standards WE TAKE CARE OF OUR PEOPLE We invest in our people, their careers, their health, and their well-being.

Benefits

Generous parental and family leave policies Mental and physical wellness programs Volunteer opportunities Non-profit matching gift program Support for employee-led affinity groups representing women, minorities and the LGBTQ community Tuition assistance A 401(k) savings program with an employer match and more 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. com/about .

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Compensation

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offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.