Mingji Li
About Mingji Li
Mingji Li is a Quantitative Software Engineer currently employed at Two Sigma in the New York City Metropolitan Area. He has a background in Industrial Engineering and Quantitative and Computational Finance, with previous roles at companies such as 平安科技（深圳）有限公司, Voya Investment Management, and ICE.
Work at Two Sigma
Mingji Li currently holds the position of Quantitative Software Engineer at Two Sigma, a prominent quantitative investment management firm. He has been with the company since 2023, contributing to the development of software solutions that support quantitative trading strategies. His role involves applying advanced quantitative methods and programming skills to enhance the firm's technological capabilities in financial markets.
Previous Experience in Quantitative Analysis
Before joining Two Sigma, Mingji Li worked at ICE as a Quantitative Engineer from 2021 to 2023. In this role, he focused on developing quantitative models and tools to optimize trading strategies. Prior to that, he served as a Quantitative Research Intern at Voya Investment Management in 2020, where he contributed to research projects aimed at improving investment strategies. His early career included a position as a Quantitative Analyst at 平安科技（深圳）有限公司 for three months in 2019.
Education and Expertise
Mingji Li earned his Bachelor's degree in Industrial Engineering from Nanjing University, completing his studies from 2015 to 2019. He furthered his education at the Georgia Institute of Technology, where he obtained a Master of Science in Quantitative and Computational Finance in 2020. His academic background provides a strong foundation in both engineering principles and financial quantitative methods.
Background
Mingji Li has a diverse background in quantitative finance and software engineering. He began his career in Shanghai and has since gained experience in various roles across the United States. His work has spanned multiple sectors within finance, including investment management and trading technology, allowing him to develop a comprehensive skill set in quantitative analysis and software development.