Quantitative Researcher Intern

Job Responsibilities

• 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.

About the role

Point72 Internal Alpha Capture (IAC) is a highly collaborative, fast-growing team developing scalable quantitative equity trading signals using rigorous research, state-of-the-art machine learning methods, and a broad range of public and proprietary data sources. The team is seeking exceptional students to join as quantitative researcher interns for Fall 2025, Spring 2026, and Summer 2026.

Requirements

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 fostering 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.

Pay

The annual base salary is $120,000-$180,000 (USD), prorated based on internship start and end date. Actual compensation offered to the successful candidate may vary from the posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.