Jerry H

Jerry Huang is currently a quantitative trader at Old Mission in New York, where he specializes in algorithmic trading and market making across multi-asset classes, with a focus on hard-to-price and illiquid exchange-traded funds (ETFs). His responsibilities include developing quantitative models and trading strategies that contribute to Old Mission’s liquidity provision for institutional clients in complex markets.

Prior to his tenure at Old Mission, Jerry gained experience as a quantitative trader at Optiver, a global leader in options market making, and held software engineering roles at Secureframe, VectorShift, Amazon, and Vertex Protocol. This blend of quantitative finance and software engineering expertise allows him to work on highly technical trading systems, leveraging his skills to optimize performance in volatile markets.

Jerry holds a Bachelor of Science degree from Duke University and has conducted research in forensic science and machine learning. Notably, his analytical work extends to aligning learning algorithms and advancing quantitative fingerprint analysis, setting him apart for his interdisciplinary approach to financial technology and trading innovation.