March 11, 2025
Quorum by Convene, NY, USA
Mayank Saxena is a Hybrid Derivatives Trader mainly focusing on Quantitative Investment Strategies. He helps in designing and executing systematic trading strategies including systematic volatility, risk premia, thematic, hedging overlays etc. across asset classes namely equities, commodities etc and hybrid structures involving linear and non-linear payoffs. Mayank joined Societe Generale in 2015 as a Quantitative Strategist in the QIS team. His team focuses on building and backtesting models for the systematic trading strategies as well as maintaining them on a daily basis. Prior to SocGen, Mayank worked for a global asset management firm in the Reference Data Management team building data models for different asset classes. Mayank graduated from Rutgers Business School with a MS in Quantitative Finance and a Bachelor of Engineering in Computer Engineering from University of Mumbai, India.
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