Point72
Verified live 1d ago
Quantitative Researcher, Trading Research
Brief overview
New York, New York, United StatesIn-person
MastersOr in progress
$125k–$200k/yrStated range
2+ yrsMinimum
135 H-1B approvalsDept. of Labor
43 green cardsCertified filings
PythonC++AWSQuantitative ResearchStatistical ModelingMarket Microstructure AnalysisPredictive ModelingAlgorithm Development
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/Responsibilities
- Research and develop in-house trading strategies, used by both discretionary and quantitative traders.
- Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies.
- Develop and maintain predictive models to optimize trade execution and minimize transaction costs, utilizing both linear and non-linear techniques.
- Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies.
- Stay current and report on changes in market microstructure.
Requirements
- Master's degree or higher in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, or a related discipline.
- A minimum of 2 years of experience in quantitative research, building statistical models for intraday study.
- Solid understanding of market impact.
- Proficiency in programming languages such as Python and C++. Experience in AWS is preferred.
- Strong knowledge in macro products, including FX and bonds, is a plus.
- Commitment to the highest ethical standards.
The annual base salary range is $125,000-200,000 (USD). Actual compensation offered to candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level among other things. Details about eligibility for bonus compensation (if applicable) will be finalized at the time of offer.
More jobs like this