Max Gao

Max (Xiangcheng) Gao, CFA has a strong background in quantitative finance and research. Max (Xiangcheng) is currently employed at Wolfe Research, LLC as Vice President, Quantitative Strategist since January 2022. Prior to this role, they served as a Senior Associate, Quantitative Strategist at the same company from November 2020 to December 2021.

Before joining Wolfe Research, Max worked at AIG as a Senior Quantitative Analyst from February 2016 to November 2020. Max (Xiangcheng) also gained valuable experience as a Summer Analyst at AIG in 2015, where they focused on quantitative analysis.

Max has also contributed their expertise as a Quantitative Research Assistant at The Earth Institute, Columbia University from February 2015 to May 2015, and as a Graduate Teaching Assistant at Columbia University in the City of New York from January 2015 to May 2015.

Earlier in their career, Max held internships at PING AN as a Summer Actuarial Analyst in 2014, CICC as an Investment Banking Summer Analyst in 2012, BOCI as an Equity Research Summer Analyst in 2011, and Citi as a Global Transaction Services Intern in 2010.

Overall, Max (Xiangcheng) Gao, CFA has built a well-rounded work experience in quantitative finance, with a focus on strategy, analysis, and research.

Max (Xiangcheng) Gao, CFA has a diverse education history. Max (Xiangcheng) earned their Master of Arts (M.A.) degree in Statistics from Columbia University in 2015. Prior to that, they attended UNC Kenan-Flagler Business School from 2011 to 2014, where they obtained a Bachelor of Science (BS) degree in Business Administration with a concentration in Finance.

Max also studied at the University of North Carolina at Chapel Hill from 2009 to 2014, where they pursued a second major in Statistics. In 2008, they participated in the Summer School - Secondary School Program at Harvard University, focusing on Sociology.

In addition to their academic achievements, Max obtained several certifications. Max (Xiangcheng) completed courses in Scalable Machine Learning on Big Data using Apache Spark, Deep Learning and Neural Networks with Keras, and Machine Learning with Python, all from IBM. Max (Xiangcheng) is also a Chartered Financial Analyst (CFA), certified by the CFA Institute in 2020.