Quantitative Researcher, Trading Research at Point72 (New York, NY)
Point72 · New York, NY·
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.
Why work at Point72
- Culture & structure: Flat, entrepreneurial organization where junior team members can make an immediate impact. Emphasis on mentorship, collaboration, and long‑term development.
- Work environment: Premium office spaces with amenities; hybrid/office‑based roles (specific policy varies by role and location). Most roles are based in firm offices.
- Benefits (generally include): Exceptional healthcare benefits, generous parental and family leave, supplemental retirement plans with employer match, tuition assistance.
- Engineering & quant culture: Cubist offers researchers, developers, and data specialists the chance to work on cutting‑edge problems in financial markets.
- Growth opportunities: Internal mobility, leadership development, and a strong track record of promoting from within. The firm invests heavily in learning (Academy, conferences, tuition reimbursement).
- Community and inclusion: Affinity groups, volunteer opportunities through Community Matters, and a dedicated Chief Inclusion and Engagement Officer.