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Quantitative Research Intern

Point72 • Venture Capital • Hedge Funds & Alternative Investments • Master's Degree • Python • Java • C# • C++ • Perl • MATLAB • 1 month ago

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Salary

≈ $66k – $111k per year (Estimated)

Location

In office (New York)

Seniority

Intern

Visa

H-1B filings in 12 months: 83 · green card filings: 20

Employment

Internship

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Aug 15, 2024. Point72 scores B on the Alion truth index.

Overview

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Point72

Point72 is an American investment firm founded in 2014 when Steven Cohen converted his former hedge fund SAC Capital into a family office, before reopening to outside capital in 2018. It runs a multi-strategy business dominated by discretionary long and short equity teams organised as independent portfolio managers, alongside macro, systematic and quantitative strategies that rely heavily on alternative data and machine learning. Headquartered in Stamford, Connecticut with offices across North America, Europe and Asia, it also operates Point72 Ventures as a venture capital arm and runs a well-known academy programme that trains analysts from outside finance.

point72.com • HQ: Stamford, United States • Venture Capital • Hedge Funds & Alternative Investments • 1001-5000 employees • Est. 2014

Backed by Point72 Ventures - Venture Capital Firm

JOB DESCRIPTION

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.

JOB RESPONSIBILITIES

Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
Identify features and relationships useful for the predictive modeling of market dynamics

DESIRABLE CANDIDATES

MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
Strong analytical and quantitative skills
Demonstrated interest in financial markets and systematic trading
Clear, concise, and proactive communicator
Detail-oriented
Willing to take ownership of his/her work, working both independently and within a small team

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