Behroz Khan

Behroz Khan is a Quantitative Researcher at Wolverine Trading, based in Chicago, Illinois. In this role since November 2018, he designs and implements data-driven strategies for trading across various asset classes, focusing on leveraging quantitative methods to optimize risk and profitability, particularly in equity, options, and futures markets. Wolverine Trading is recognized as a market leader in derivatives trading, indicating that Khan’s work is deeply rooted in the analysis and valuation of derivatives.

Before his current role, Khan advanced through analytical positions, starting as a Business Intelligence Analyst at Mr. David's Flooring International, LLC, then holding the same title at Wolverine Trading. This progression highlights his expertise in data analytics, business intelligence, and technology-driven process improvement within the financial services sector. His primary focus is on applying quantitative research to proprietary trading in global markets, which includes equities, derivatives, and related financial instruments.

Khan holds a master's degree in Computer Science and a degree in Accounting and Finance from DePaul University, providing him with a strong foundation in both quantitative modeling and financial analysis. His notable achievements include driving innovation in trading strategies and contributing to Wolverine Trading's sustained leadership in the highly competitive U.S. derivatives market. He is known for integrating advanced computational techniques into the development of actionable investment strategies.