Mikhail Shevelev is a seasoned professional in portfolio management and quantitative research, currently serving as Director of Portfolio Management for UberQuant at WorldQuant since December 2020, with previous experience as VP since June 2014. Responsibilities include portfolio optimization of the global WorldQuant portfolio, performance and risk analysis, market impact modeling, and management of alpha research projects. Prior to this role, Mikhail worked as a Quantitative Researcher at WorldQuant, focusing on the development of automated algorithms for equity stock returns. Additional experience includes leadership of the Personalization group at Rambler, where large-scale statistical and machine learning algorithms were developed, and a role as a Senior Analyst at TSYS. Mikhail holds Master's degrees in Mathematics with a focus on Distributed Computing from Lomonosov Moscow State University and in Finance from the Higher School of Economics.
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