Point72
Posted 67 days agoVerified live 1d ago
Quantitative Researcher Intern
Brief overview
New York, NYIn-person
MastersOr in progress
$120k–$180k/yrStated range
135 H-1B approvalsDept. of Labor
43 green cardsCertified filings
Machine learningPythonC++Linux environmentQuantitative researchData analysis
About the company
Point72point72.com
Point72 invests in multiple asset classes and strategies worldwide.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.135H-1B approved
99%approval rate
30new H-1B hires
43PERM certified
$222,500median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202361
202472
20252
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202324
202417
202517
202625
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202310
202412
202518
20263
Top sponsored roles
Quantitative Software DeveloperQuantitative Strategist, Macro TechnologyData AnalystIT Operations Engineer, Application SupportQuantitative Strategist, Treasury Quant Strategy
Sponsored employees from
ChinaIndiaUnited KingdomMalaysiaGermany
Job description
Summary
Point72 is a fast-growing team developing scalable quantitative equity trading signals. The Quantitative Researcher Intern will work closely with the team, receive comprehensive training, and help develop novel signals that may have real impact.
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
Skills
- 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
- Commitment to the highest ethical standards
- Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines
- Prior experience in the financial services industry is not required
Qualifications
Must Haves
- 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
- Commitment to the highest ethical standards
Nice to Haves
- Masters or PhD candidates in machine learning, computer science, finance, mathematics, or other quantitative disciplines
- Prior experience in the financial services industry is not required
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