Can Wang
About Can Wang
Can Wang is a Quantitative Researcher currently employed at Two Sigma in the Greater New York City Area. He has a strong academic background with a PhD from Stanford University and a Bachelor's degree from Tsinghua University, along with experience in programming and research roles.
Work at Two Sigma
Can Wang has been employed at Two Sigma as a Quantitative Researcher since 2019. In this role, he applies his expertise in quantitative analysis and programming to develop models and strategies that enhance the firm's investment processes. His tenure at Two Sigma reflects his commitment to leveraging data-driven insights in the finance sector.
Education and Expertise
Can Wang holds a Doctor of Philosophy (PhD) in Electrical and Electronics Engineering from Stanford University, where he studied from 2014 to 2019. Prior to this, he earned a Bachelor's degree in the same field from Tsinghua University, a prestigious institution in China, from 2010 to 2014. His education has equipped him with a strong foundation in statistics and programming languages, including Python, Matlab, and C.
Background
Before joining Two Sigma, Can Wang worked at Stanford University Graduate School of Business as a Research Assistant from 2015 to 2019. He also gained experience as an R&D Engineer at ABB for two months in 2013. Additionally, he served as a Teaching Assistant at Tsinghua University from 2013 to 2014, contributing to his extensive background in academic research and higher education.
Professional Experience
Can Wang's professional experience includes a notable position as a Quantitative Researcher at Two Sigma, where he has worked for five years. He briefly held the same title at Two Sigma in 2018 for two months. His roles have involved applying statistical methods and programming skills to solve complex problems in quantitative finance.