Chen Chen, Ph.D
About Chen Chen, Ph.D
Chen Chen, Ph.D, is a Quantitative Researcher at the U.S. Securities and Exchange Commission since 2022, with a strong background in econometrics and mathematics. He has previously held positions as a Portfolio Manager at PNC and a Quantitative Analyst at Allegiant Asset Management.
Work at U.S. Securities and Exchange Commission
Chen Chen has been serving as a Quantitative Researcher at the U.S. Securities and Exchange Commission since 2022. In this role, he applies his expertise in statistical modeling and quantitative analysis to support regulatory functions. His work focuses on analyzing financial data to enhance the understanding of market dynamics and contribute to the development of effective regulatory policies.
Education and Expertise
Chen Chen holds a Ph.D. in Business Statistics from the University of Illinois Chicago, where he studied from 2001 to 2005. He also earned a Master's degree in Econometrics from Fudan University and a Bachelor of Science in Mathematics from Nanjing University. This educational background provides him with a strong foundation in quantitative methods and statistical analysis, which he applies in his research and professional practice.
Background
Prior to his current position, Chen Chen worked as a Portfolio Manager at PNC from 2013 to 2019 in the Greater Chicago Area. He also served as a Quantitative Analyst at Allegiant Asset Management from 2005 to 2009. His career has been characterized by a focus on financial data analysis and investment strategy development, leveraging his quantitative skills to manage portfolios effectively.
Achievements
Chen Chen has excelled in statistical modeling of financial data and quantitative equity portfolio construction throughout his career. His strong background in designing investment strategies and systematic risk management has contributed to his effectiveness in various roles within the finance industry. He is motivated by intellectual curiosity and a competitive spirit, consistently seeking opportunities for learning and improvement.