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Quant Risk Management Intern - Year Round
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-05-31
Listing for:
CME Chicago Mercantile Exchange Inc.
Apprenticeship/Internship
position Listed on 2026-05-31
Job specializations:
-
Science
Mathematics, Data Scientist
Job Description & How to Apply Below
Position
CME Group is looking for a Quantitative Year-Found Intern in our New York office to assist our quantitative risk research on day-to-day activities supporting CME Securities Clearing business.
Principal Accountabilities- Conduct empirical studies and make recommendations on margin levels, modeling issues, and other risk‑mitigation measures.
- Ensure that the model is up to date with proven theories in the field.
- Deploy, test, and continuously improve models within the production infrastructure.
- Enhance existing risk models and design prototypes for new models across different asset classes such as OTC and Futures (Pricing, VaR, Backtest, Stress, Liquidity, etc.).
- Master or PhD in Statistics, Mathematics, Physics, Operations Research, Financial Math or Engineering.
- Experience with programming languages such as Python, C++, R, VBA, and SQL.
- Commitment to the highest ethical standards.
- Knowledge of bond math and CME rate products.
- Proficiency in probability, statistics and optimization.
- Understanding of back‑testing frameworks, historical analysis and scenario‑based research.
- Hands‑on programming experience in Python (numpy, pandas, matplotlib) or analytical packages (R/Matlab) and data visualization.
- Currently pursuing a Master’s or PhD.
- Only candidates legally authorized to work in the United States without sponsorship assistance (CPT, H1B, F1, L etc.) will be considered.
The pay range for interns is $23.84–$39.71 per hour, depending on experience and location. Interns participate in our comprehensive health coverage and mental health benefit programs.
Equal‑Opportunity EmployerCME Group is an equal‑opportunity employer, providing employment opportunities without regard to any protected characteristic.
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