INTERNSHIP DETAILS

Cubist Quantitative Researcher Intern

CompanyPoint72
LocationNot specified
Work ModeOn Site
PostedApril 1, 2026
Internship Information
Core Responsibilities
Provide research assistance to full-time researchers and assist with data collection and preliminary analysis. Follow, digest, analyze and improve upon the latest academic research.
Internship Type
full time
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

ABOUT CUBIST 

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

ROLE

Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required.

RESPONSIBILITIES

  • Provide research assistance to full-time researchers
  • Assist with data collection and preliminary analysis
  • Follow, digest, analyze and improve upon the latest academic research

DESIRABLE CANDIDATES

  • Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline.
  • Programming in any of the following: R, Python, or C++.
  • Experience with SQL.
  • Solid research experience in the field of the candidate’s specialty.
  • Strong analytical and quantitative skills.
  • Detail-oriented.
  • Demonstrated ability to learn and apply new methodologies to real life problems.
  • Willingness to take ownership of his/her work.
  • Ability to work both independently and collaboratively within a team.
  • Strong desire to deliver high quality results in a timely fashion.
  • Prior experience in the financial services industry is not required. 
Key Skills
Data AnalysisResearchProgrammingSQLAnalytical SkillsQuantitative SkillsDetail-OrientedTeamworkIndependenceMethodology ApplicationOwnershipTimeliness