Sumit Sinha, PhD, is a seasoned professional in quantitative risk management and analytics, currently serving as Senior Director and Quant Lead for OTC IRS/FX Risk Management at CME Group since April 2016. Sinha has extensive experience in leading quantitative research initiatives, model validation, and risk analysis for financial products, specifically focusing on pricing, liquidity risk, and stress testing. Prior to CME Group, Sinha held roles as Data Scientist at Sears Holding Corporation, where forecasting and optimization models were developed, and as Quantitative Researcher at General Welfare Group/ CooperFund, conducting advanced time series analysis and machine learning for trading. Sinha's academic credentials include a PhD in Statistics from Michigan State University, alongside degrees in Mathematics.
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