Quantitative Researcher, Trading Research
Point72 Asset Management - New York
Posted Aug 15, 2024
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- $125K-$200K From the posting source checked Jun 20, 2026
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
45% above the BLS role benchmark for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Quantitative Researcher, Trading Research New York 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.
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