Michael Wang

Michael Wang is a Research Analyst at Old Mission, based in New York, NY, where he plays a key role in the firm's research and analysis team. His responsibilities include quantitative research and strategy development in equity markets, leveraging his background in computer science and data-driven investment analysis. Within Old Mission, he contributes to the evaluation and optimization of trading strategies focusing primarily on equities and systematic investment approaches.

Prior to joining Old Mission, Michael served as President of the Cornell Quant Fund, a student-run quantitative investment group at Cornell University, where he led teams covering quantitative research across equity, derivatives, and algorithmic trading strategies. He also interned as an Algorithmic Trading Summer Analyst at J.P. Morgan, gaining direct experience in building and backtesting systematic trading models for liquid asset classes.

Michael Wang earned a Bachelor of Arts in Computer Science from Cornell University, with additional academic work in Economics. His expertise spans quantitative research, algorithmic trading, and systematic equities, making significant contributions to both academic and professional investment communities at an early stage of his career.