Redmond Xia
About Redmond Xia
Redmond Xia is a Risk Associate at Clear Street, where he has worked since 2023. He holds a Bachelor of Science in Mathematical Sciences, Statistics, and Economics from the University of Michigan and a Master of Financial Engineering from UCLA Anderson School of Management.
Work at Clear Street
Redmond Xia currently serves as a Risk Associate at Clear Street, a position he has held since 2023. Prior to this role, he worked as a Risk Analyst at the same company from 2021 to 2023. In these roles, he has focused on risk management strategies and analytics, contributing to the firm's efforts in enhancing financial methodologies.
Education and Expertise
Redmond Xia earned a Bachelor of Science (B.S.) degree in Mathematical Sciences, Statistics, and Economics from the University of Michigan College of Literature, Science, and the Arts, completing his studies from 2015 to 2018. He furthered his education by obtaining a Master of Financial Engineering from UCLA Anderson School of Management, studying from 2019 to 2020. His academic background supports his expertise in algorithmic trading strategies and machine learning applications in finance.
Background in Quantitative Analysis
Before joining Clear Street, Redmond Xia gained experience as a Quantitative Research Analyst at Guidepoint from 2021 for a duration of nine months. He also completed an internship as a Quantitative Analyst Intern at Guidepoint in 2019 for three months. His early career included a role as a Research Analyst Intern at Los Angeles Capital Management and Equity Research, Inc. in 2020, where he worked for two months.
Technical Skills and Interests
Redmond Xia possesses proficiency in multiple programming languages and tools, including R, C++, Python, SQL, and Tableau. He actively maintains a GitHub profile, showcasing his projects and contributions in data science and finance. His interests include the application of machine learning to alternative data for portfolio construction and factor timing models, as well as the emergence of Statistical Finance.