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Quantitative Researcher Intern

Point72 · New York, NY · United States

Quantitative Researcher Intern in New York, NY, developing scalable equity signals using machine learning. Internship role for Fall 2025 to Summer 2026, with competitive salary and comprehensive training.

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Quantitative Researcher Intern in New York, NY, developing scalable equity signals using machine learning.

Internship role for Fall 2025 to Summer 2026, with competitive salary and comprehensive training.

JOB RESPONSIBILITIES

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

We are looking for exceptional students to join us as quantitative researcher interns for Fall 2025, Spring 2026 and Summer 2026. Our interns will work closely with our team, receive comprehensive, in-depth training, and help develop novel signals that may have real impact.

You will gain exposure to a variety of activities, which may include:

DESIRABLE CANDIDATES

Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines.

Demonstrated ability to conduct independent research utilizing machine learning over large, possibly noisy, data sets.

Strong analytical and quantitative skills, and detail-oriented mindset.

Proficient in Python or C++, and Linux environment.

Excellent written and verbal communication skills, willing to proactively engage other team members in helping to foster a highly collaborative, team-oriented research environment.

Willing to take ownership of his/her work, working both independently and within a collaborative team.

Prior experience in the financial services industry is not required.

Commitment to the highest ethical standards.

The annual base salary range is $120000.00-$180000.00 (USD). Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.

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