Yiyue Wu
About Yiyue Wu
Yiyue Wu is a Quantitative Researcher with extensive experience in the finance sector, currently employed at Two Sigma since 2014. He previously held positions at Morgan Stanley and UBS Investment Bank, and he earned both his B.S. and PhD in Electrical Engineering from Shanghai Jiao Tong University and Princeton University, respectively.
Work at Two Sigma
Yiyue Wu has been employed at Two Sigma as a Quantitative Researcher since 2014. In this role, he focuses on developing quantitative models and strategies to enhance investment decisions. His tenure at Two Sigma spans over 10 years, during which he has contributed to various projects aimed at optimizing trading algorithms and improving data analysis techniques.
Previous Experience at Morgan Stanley
Prior to joining Two Sigma, Yiyue Wu worked at Morgan Stanley as a Quantitative Researcher for one year, from 2013 to 2014. Based in New York, he was involved in quantitative analysis and model development, contributing to the firm's research capabilities in financial markets.
Experience at UBS Investment Bank
Yiyue Wu served as a quant on the interest rates desk at UBS Investment Bank from 2011 to 2013. During his two-year tenure in Stamford, CT, he focused on quantitative modeling related to interest rate products, enhancing the bank's analytical frameworks and trading strategies.
Education and Expertise
Yiyue Wu earned his Bachelor of Science degree in Electrical Engineering from Shanghai Jiao Tong University, where he studied from 2002 to 2006. He furthered his education at Princeton University, obtaining a PhD in Electrical Engineering from 2006 to 2011. His academic background provides a strong foundation for his work in quantitative research and financial modeling.
Research Experience at Princeton University
During his time at Princeton University, Yiyue Wu conducted research in the field of Electrical Engineering from 2006 to 2011. His experience as a PhD candidate involved advanced studies and projects that contributed to his expertise in quantitative analysis and algorithm development.