Assist the team in conducting empirical studies which help make recommendations on margin levels, modeling issues, and other risk-mitigation measures.
Work to develop strategies to perform back-testing to ensure the adequacy of margin coverage and model assumptions.
Develop quality assurance test cases to test the code developed for margin methodologies
Develop tools to clean and synchronize large sets of data.
Position Requirements Education & Experience: Master's degree. Field of Degree: Finance, Mathematics, Economics, Statistics or related field.
Skills Strong knowledge of pricing derivatives and performing statistical analysis on underlying risk factors (returns' distribution, volatility, correlations, etc.) The candidate should also have had academic experience in probability theory, stochastic processes. Programming languages such as C++, Python, R and SQL are essential. The successful candidate must also possess strong oral and written communication skills.
CME Group: Where Futures Are Made
CME Group (www.cmegroup.com) 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 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.