Quant Risk Management Intern - Year Round

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 the proven theories in the field.
• Ensure deployment, testing and continuous improvement of these models within the Production Infrastructure of CME.
• Work on a team that enhances existing risk models as well as designs/prototypes new models across different asset classes like OTC and Futures (e.g. Pricing, VaR, Backtest, Stress, Liquidity, etc.).

Required Qualifications

• A Master or PhD in Statistics, Mathematics, Physics, Operational research, Financial math or Engineering.
• Experience with some programming languages such as Python/C++/R/VBA and SQL.

Desired Qualifications

• 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.

Minimum Qualifications

Currently pursuing a Master's degree or PhD
Local to New York

Sponsorship Qualifications

Please note that our company is unable to provide employment sponsorship for this position and can only consider candidates who are legally authorized to work in the United States without sponsorship assistance (CPT, H1B, F1, L etc.).