Quantitative Researcher Intern
Point72 Asset Management - New York
Posted Aug 15, 2024
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Quantitative Researcher Intern New York 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
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