Ilya Feygin
Managing Director & Senior Strategist, WallachBeth Capital LLC
Determining Edge in Options Trading – an Application of the Kelly Criterion
Friday, March 10, 2017
11:00 am

 Ilya Feygin joins WallachBeth Capital as a Managing Director and Senior Strategist with over two decades of experience as a portfolio manager, strategist, proprietary trader, and risk manager in multiple asset classes. As a seasoned proprietary trader at several large investment banks, Ilya has years of experience managing large options and derivative portfolios, including cross-asset volatility and directional strategies. He provides clients’ with guidance on options and derivatives portfolio construction, macro and tactical strategies, cross-asset class volatility and correlation, alpha generation and risk mitigation. 

Prior to joining WallachBeth, Ilya used options and derivatives heavily as a Strategist and Macro Trader at Omega Advisors, where he identified cross-asset macro risks and opportunities, assessing their impact on traditional portfolios and made recommendations to the firm’s Investment Policy Committee. Previously, he served as a Managing Director and Member of the Investment Committee at Attalus Capital, where he oversaw multiple traditional, hedge fund, and options hedging/overlay strategies. During his time at Drake Management, an asset manager with over $10 Billion AUM, Ilya served as a Managing Director, Member of the Investment Committee, and Head of Derivatives. There he was responsible for macro, tactical, and derivative-related strategies for Drake’s Global Macro/Multi- Strategy Funds and served as Portfolio Manager of the Long Volatility Fund. In managing these strategies, Ilya was at the forefront of new options/derivative innovations being the largest buy-side trader of VIX Options when the product was introduced in 2006. 

Ilya holds an MBA in Finance from the NYU Stern School of Business where he was a Stern Scholar, and a BS degree with high honors from MIT, where he was elected to Sigma Xi and Tau Beta Pi. His published thesis is titled “Periodicities in Financial Time Series.” 

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