Point72
Verified live 2d ago
Fund Flow Quantitative Researcher
Brief overview
New York, New York, United StatesIn-person
135 H-1B approvalsDept. of Labor
43 green cardsCertified filings
PythonAWSsystematic trading strategiesapplied researchportfolio constructionrisk modelingtransaction cost modelingP&L attribution
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
Role:
Point72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities.
Responsibilities:
- Create systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets
- Conduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning
- Contribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution
- Monitor, analyze and improve live trading P&L
- Collaborate with analysts and strategists to improve PM-facing content
Requirements:
- Undergraduate, Master’s or PhD candidates in a technical field
- Demonstrated creativity and rigor in the research process
- Technically comfortable handling large datasets stored in AWS using Python
- Collaborative mindset
- Passion for research and financial markets
- Intellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment
- Commitment to the highest ethical standards
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