Nongchao Li
About Nongchao Li
Nongchao Li is a Quantitative Researcher currently employed at Quantitative Brokers in New York, having previously interned at Capula Investment Management and worked as a consultant for Ant Financial. Li holds a Ph.D. in Operations Research & Financial Engineering from Princeton University and a Bachelor of Science in Systems Science and Engineering, Statistics, and Finance from Washington University in St. Louis.
Work at Quantitative Brokers
Nongchao Li has been employed at Quantitative Brokers as a Quantitative Researcher since 2020. This role is based in New York, New York, where Li contributes to the development of quantitative strategies and models that enhance trading performance and risk management. The position involves analyzing market data and implementing advanced statistical techniques to inform decision-making processes.
Education and Expertise
Nongchao Li holds a Doctor of Philosophy (Ph.D.) in Operations Research & Financial Engineering from Princeton University, which was completed from 2015 to 2020. Prior to this, Li earned a Bachelor of Science (BS) degree in Systems Science and Engineering, Statistics, and Finance from Washington University in St. Louis, studying from 2011 to 2015. This educational background provides a strong foundation in quantitative analysis and financial modeling.
Background
Nongchao Li attended Shenzhen Middle School from 2008 to 2011, where foundational skills in mathematics and science were developed. Following this, Li pursued higher education in the United States, leading to advanced studies in quantitative fields. This trajectory reflects a commitment to understanding complex systems and financial engineering.
Previous Work Experience
Before joining Quantitative Brokers, Nongchao Li gained experience as a Quantitative Research Summer Intern at Capula Investment Management LLP in London for two months in 2018. Additionally, Li worked as a Risk Management External Consultant at Ant Financial from 2017 to 2018, operating in both Hangzhou, Zhejiang, China, and Princeton, New Jersey. These roles contributed to Li's expertise in quantitative research and risk management.