Quantitative Research Intern at Point72 (New York, NY)
Point72 · New York, NY·
Job description
JOB DESCRIPTION
This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading.
JOB RESPONSIBILITIES
- Pre-process (validate, clean, normalize, reduce dimension) very large data sets for model estimation and event studies
- Identify features and relationships useful for the predictive modeling of market dynamics
DESIRABLE CANDIDATES
- MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative discipline
- Programming in any of the following: C++, Java, C#, MATLAB, R, Python, or Perl
- Strong analytical and quantitative skills
- Demonstrated interest in financial markets and systematic trading
- Clear, concise, and proactive communicator
- Detail-oriented
- Willing to take ownership of his/her work, working both independently and within a small team
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.