Jimmy Kang

Jimmy Kang is a Quantitative Trader at Old Mission, where he focuses on developing and implementing algorithmic trading strategies across various asset classes. His responsibilities entail leveraging quantitative research and advanced computational methods to support the firm's trading activities, with an emphasis on equities and related derivatives markets.

Prior to joining Old Mission, Jimmy interned as a Software Engineer at both Palantir Technologies and Roblox, where he honed his technical and analytical skills on complex engineering projects. These experiences provided him with a strong foundation in high-performance computing and large-scale data analysis, directly informing his quantitative trading work.

Jimmy holds a Bachelor's degree in Computer Science from UC Berkeley's Electrical Engineering & Computer Sciences (EECS) department and a high school diploma from Portola High School. His expertise lies at the intersection of quantitative research, software engineering, and financial markets, and he is recognized for integrating advanced programming with rigorous market analysis to drive results in the competitive trading landscape.