Quantitative Researcher Intern

Point72; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Point72 in New York is seeking quantitative researcher interns for Fall 2025, Spring 2026, and Summer 2026. Interns will collaborate on developing scalable quantitative trading signals, receiving comprehensive training while engaging in independent research and advancing team projects.

Ideal candidates are pursuing a Masters or PhD in quantitative disciplines, possess strong analytical skills, and are proficient in Python or C++. The role offers an annual salary range of $120,000 to $180,000 (USD), with potential for bonus compensation.

Qualifications

• 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 data sets.
• Strong analytical and quantitative skills, and detail-oriented mindset.

Responsibilities

• Conduct full pipeline signal research, from ideation to application.
• Analyze very large data sets to extract features useful for predictive models.
• Help improve the team’s research infrastructure.

Skills

Machine learning

Python

C++

Analytical skills

Quantitative skills

Education

Masters or PhD in relevant fields

Tools

Linux

Job description

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:

• Conducting full pipeline signal research, from ideation, via implementation and backtesting, to eventual application.
• Adapting and extending existing results in the broad field of machine learning; conducting novel research as needed to potentially develop new signals that may enhance portfolio returns.
• Analyzing very large data sets to extract features useful for predictive models.
• Providing research assistance to the team.
• Helping improve the team’s research infrastructure.

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.