Cenchen Wu is an experienced quantitative researcher and analyst with a strong background in systematic trading and financial analysis. Cenchen has held positions at prominent firms such as Magma Capital Funds, Graham Capital Management, and Hermes Capital Advisors, focusing on developing systematic macro strategies, building database management systems, and applying machine learning and NLP techniques to analyze financial news. Cenchen's expertise includes equity long/short strategies, multi-asset allocation, and deep learning models for alpha signal extraction. Academic credentials include a Master of Science in Financial Engineering from Columbia University and dual Bachelor degrees in Economics and Mathematics from Peking University.
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