Chi Keung Chow
About Chi Keung Chow
Chi Keung Chow is the Senior Director of Data Science at FINRA, where he has worked since 2022. He has an extensive background in data science and analytics, with previous roles at FINRA and other organizations, and holds a PhD in Theoretical and Mathematical Physics from Caltech.
Current Role at FINRA
Chi Keung Chow serves as the Senior Director of Data Science at FINRA, a position he has held since 2022. In this role, he oversees data science initiatives and strategies within the organization. He previously worked at FINRA as a Principal Developer/Director from 2018 to 2022 and as a Lead Developer from 2010 to 2018. His extensive experience at FINRA includes representing the Market Regulation Technology Department in external meetings with the SEC and exchanges.
Previous Experience at FINRA
During his tenure at FINRA, Chi Keung Chow contributed significantly to the organization's technological advancements. He served as Lead Developer for eight years, where he was the chief designer of a new generation data analytic system for market surveillance and monitoring. His role as Principal Developer/Director further solidified his expertise in data science and market regulation technology.
Educational Background
Chi Keung Chow holds a Doctor of Philosophy (PhD) in Theoretical and Mathematical Physics from Caltech, where he studied from 1991 to 1995. He also earned a Bachelor of Science (BS) in Physics from The Chinese University of Hong Kong, attending from 1987 to 1991. His academic background provides a strong foundation for his work in data science and analytics.
Professional Experience Prior to FINRA
Before joining FINRA, Chi Keung Chow held various positions in data architecture and analysis. He worked at DataLab USA as a Senior Business Intelligence Analyst and later as Manager of Data Architecture. His experience also includes roles as a Database Architect at COMSORT, Inc., a Senior DBA at Lumenos, and Research Associate positions at the University of Maryland College Park and Cornell University.