Summary
Tim Gong is an experienced portfolio manager and quantitative researcher with over a decade in equity alpha and alternative data research, currently leading portfolios at Balyasny Asset Management. His career blends deep risk analytics—rising from risk analyst to Deputy Chief Risk Officer—with hands-on engineering roots in real-time network management software from the late 1990s and early 2000s. Tim has repeatedly translated large-scale, messy data into actionable trading signals and portfolio insights, overseeing both alpha capture and firm-wide risk frameworks. He holds advanced training in computer science and attended The University of Chicago Booth School of Business, reflecting a rare combination of technical, quantitative and business acumen. Based in Naperville, IL, he is notable for moving fluidly between research, risk and portfolio execution, bringing an engineer’s precision to high-stakes investment decisions.
10 years of coding experience
13 years of employment as a software developer
The University of Chicago Booth School of Business
Master's degree Computer Science, Master's degree Computer Science at Kansas State University
Shanghai Jiao Tong University