CME Group is a diverse derivatives marketplace that manages risk and captures opportunities. They are seeking a Quantitative Risk Management Intern to assist in developing risk and pricing models, evaluate counter-party exposures, and perform statistical analyses.
Responsibilities
Assist in developing risk and pricing models that evaluate counter-party exposures to the Clearing House
Models related to pricing, Value-at-Risk, stress testing, liquidity, and regulatory capital
Developing tools for portfolio analytics (e.g. sensitivities, risk reports, and margin adequacy)
Perform the back testing and statistical analyses required to ensure the adequacy of margins and to justify model assumptions
Qualification
Required
Studying in Quantitative Finance, Statistics, Mathematics, Computer Science, Physics, or a relevant scientific field.
Strong demonstrable knowledge of pricing complex derivatives and performing advanced statistical analysis on underlying risk factors.
Academic experience in probability theory, statistics, and stochastic processes.
Experience providing theoretical justifications of risk models.
Experience with programming languages such as C++/C#, Python, R, VBA, and SQL is essential.
Bachelor or Masters in Computer Science, Financial Engineering, Financial Mathematics, Mathematics, Physics, or a related discipline.
To apply for this year-round internship applicants must be in education with more than 3 months to completion.
Fully On-Site - able to come into the CME Group Chicago office (located at 20 S. Wacker, Chicago, IL 60606).
Able to work 40 hours per week during summer term.
Preferred
Preference will be given to Masters students.
Comprehensive health coverage
Mental health benefit
CME Group is a diverse derivatives marketplace that manages risk and capture opportunities.
