INTERNSHIP DETAILS

Quantitative Researcher - Intern

CompanyPoint72
LocationNot specified
Work ModeOn Site
PostedApril 1, 2026
Internship Information
Core Responsibilities
Pre-process large data sets for model estimation and event studies. Identify features and relationships useful for predictive modeling of market dynamics.
Internship Type
full time
Salary Range
$120,000 - $180,000
Company Size
3337
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
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.
About the Role

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

  • Undergraduate, 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

The annual base salary is $120,000-$180,000 (USD) which will be prorated based on internship start and end date. Actual compensation 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.

Key Skills
Data ModelingStatistical LearningProgrammingAnalytical SkillsQuantitative SkillsFinancial MarketsSystematic TradingCommunicationDetail-orientedOwnershipTeamwork