Wenlong Wang

Wenlong Wang is a Quantitative Analyst at Magnetar Capital in Evanston, Illinois, where he specializes in applying advanced statistical and quantitative methods to investment strategies. His responsibilities involve quantitative research and model development supporting the firm's systematic and alternative investment portfolios, focusing particularly on alternative credit and fixed income markets.

Prior to joining Magnetar Capital in 2014, Wenlong was an Associate at Morgan Stanley, where he contributed to quantitative analysis and risk modeling efforts within the firm's trading and investment divisions. His expertise spans quantitative finance, statistical modeling, and the development of algorithmic strategies for complex asset classes.

Wenlong earned his Ph.D. in Statistics from the University of Chicago, further strengthening his foundation in statistical inference, probability theory, and data-driven decision-making. He also holds a Bachelor of Science in Mathematics from Peking University. Throughout his career, Wenlong has been recognized for leveraging his deep academic training to deliver robust quantitative solutions in fixed income and systematic investing.