Point72
Verified live 13h ago
Macro Quantitative Researcher
Brief overview
New York, New York, United StatesIn-person
MastersOr in progress
4+ yrsMinimum
135 H-1B approvalsDept. of Labor
43 green cardsCertified filings
PythonRC/C++scikit-learnPandassignal researchportfolio optimizationrisk managementdata processingmodelingbacktestingsystematic trading
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
About the Team:
A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional in the intraday to mid frequency systematic macro space. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business.
Role:
- Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets
- Work with price-volume and alternative data at intraday to multiday (up to 2-3 weeks) horizons in the mid-frequency space
- Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation
- Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets
Responsibilities:
- Develop systematic trading models across global futures (equity indices, commodities and fixed income) and/or FX markets
- Alpha idea generation, backtesting, and implementation
- Evaluate new datasets for alpha potential
- Contribute to and enhance portfolio optimization, allocation and risk management processes
- Help drive the growth of the investment process and research capabilities of the team
- Assist in building, maintenance, and continual improvement of production and trading environments
Requirements:
- MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics
- 4+ years of signal research or portfolio management experience in futures markets and/or FX as part of a successful proprietary trading team with a track record
- Prior professional experience with signal combination, portfolio optimization and risk management
- Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas
- Collaborative mindset with strong independent research abilities
- Commitment to the highest ethical standards
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