Guanjie Huang is an experienced quantitative researcher with a strong background in systematic trading strategies, portfolio optimization, and machine learning applications. Currently serving as a VP at AllianceBernstein since March 2020, Guanjie focuses on systematic credit strategy and signal construction. Prior to this role, Guanjie held various positions at JPMorgan Chase & Co., including VP of Quantitative Fixed Income Strategist, where contributions included publications on machine learning for trading strategy development and asset allocation. As an associate, Guanjie built mortgage forecasting models using advanced statistical methods and improved processing efficiency through software development. Guanjie's educational credentials include a Master’s Degree in Computer Science and a Master's Degree in Mathematics of Finance from Columbia University, alongside dual Bachelor's Degrees in Economics and Mathematics from Renmin University of China.
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