Richard Ouyang
About Richard Ouyang
Richard Ouyang is a Quantitative Researcher at Two Sigma, where he has worked since 2019. He has a strong educational background in economics and statistics from Harvard University and diverse experience in quantitative research, trading, and software engineering.
Work at Two Sigma
Richard Ouyang has been employed as a Quantitative Researcher at Two Sigma since February 2019. In this role, he engages in quantitative research, applying his expertise in statistics, computer science, and finance. His tenure at Two Sigma follows a previous internship with the company in 2018, where he gained foundational experience in quantitative research.
Education and Expertise
Richard Ouyang holds a Bachelor of Arts in Economics and Computer Science and a Master of Arts in Statistics, both from Harvard University. His educational background provides him with a strong foundation in both theoretical and applied aspects of these fields. He also studied at Memphis University School, where he achieved a GPA of 5.62/4.00.
Background
Richard Ouyang has a diverse internship history that includes roles in trading, research analysis, and software engineering. He worked as a Trader Intern at Optiver, a Research Analyst Intern at Ellington Management Group, and a Software Engineering Summit intern at Capital One. Additionally, he served as a Teaching Fellow at Harvard University, where he gained experience in education and research.
Internship Experience
Richard Ouyang's internship experience spans several notable organizations. He interned at Ellington Management Group as a Research Analyst in 2016, at Optiver as a Trader Intern in 2017, and at Capital One as a Software Engineering Summit intern in 2016. He also worked as a Course Developer and Manager at CollegeVine from 2015 to 2017, contributing to educational content development.
Research and Teaching Roles
Richard Ouyang has been involved in both research and teaching roles throughout his career. His position as a Teaching Fellow at Harvard University allowed him to engage with students while contributing to academic research. His quantitative research work at Two Sigma further emphasizes his commitment to advancing knowledge in the fields of statistics and finance.