The Quantitative Risk Intern is responsible for working in a team that develops Risk/Pricing Models evaluating counterparty exposures to the Clearing House, including models related to Pricing, Value-at-Risk, Stress Testing, Liquidity, Regulatory Capital, & also developing tools for Portfolio Analytics. He/She works in a team that performs back testing & statistical analysis required to ensure the adequacy of margin coverage & justify other model assumptions.

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. Present results to Sr. Management and/or Risk Committees.
• 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.).

Skills & Software Requirements:

• Experience with some programming languages such as C++/C#, R, VBA and SQL is also required.
• Bachelor's degree required in a technical discipline, but a Master's degree is preferred in the following disciplines- Math Finance, Applied Mathematics, Financial Engineering, Software Engineering

CME Group: Where Futures are Made

CME Group is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it - all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more.

At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone's perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic.

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