Kevin J. Pan
About Kevin J. Pan
Kevin J. Pan is a Quantitative Researcher currently employed at Two Sigma, where he has worked since 2020. He holds a Ph.D. in Economics from Harvard University and has prior experience at Goldman Sachs and the Federal Reserve Bank of New York.
Work at Two Sigma
Kevin J. Pan has been employed as a Quantitative Researcher at Two Sigma since 2020. In this role, he focuses on equity and macro markets, applying a data-driven approach to his research. His responsibilities include analyzing market trends and developing quantitative models to inform investment strategies. His tenure at Two Sigma has allowed him to leverage his extensive background in quantitative research and finance.
Previous Experience at Goldman Sachs
Before joining Two Sigma, Kevin J. Pan worked at Goldman Sachs as a Vice President from 2017 to 2020. During his three years in this position, he contributed to various quantitative research initiatives, enhancing the firm's investment strategies. His experience at Goldman Sachs provided him with a solid foundation in financial markets and quantitative analysis.
Education and Expertise
Kevin J. Pan holds a Doctor of Philosophy (Ph.D.) in Economics from Harvard University, which he completed from 2012 to 2017. He also studied Mathematics at New York University’s Courant Institute of Mathematical Sciences for one year in 2011-2012. Prior to that, he earned a Bachelor of Science degree in Management Science, Economics, and Mathematics from the Massachusetts Institute of Technology from 2006 to 2010. His educational background equips him with a strong analytical framework for his work in quantitative research.
Background in Economics and Finance
Kevin J. Pan has a diverse background in economics and finance. He served as an Assistant Economist at the Federal Reserve Bank of New York from 2010 to 2012, where he gained insights into economic policy and financial systems. Additionally, he worked as a Graduate Research Intern at Harvard Management Company in 2015, further developing his research skills in a financial context. His experience spans various areas, including asset allocation, credit, currencies, and volatility.
Quantitative Research Approach
Kevin J. Pan employs a technique-agnostic approach to quantitative research. This methodology allows him to utilize various analytical techniques and tools to address complex financial problems. His focus on a data-driven approach enables him to adapt to different market conditions and develop robust investment strategies.