Kevin Weng
About Kevin Weng
Kevin Weng is a Junior Derivatives Trader at Valkyrie Trading in Chicago, Illinois, where he has worked since 2022. He holds dual degrees in Mathematics and Statistics from the University of California, Los Angeles, and has a background in biostatistics from his internship at UCSF Medical Center.
Work at Valkyrie Trading
Kevin Weng has been employed at Valkyrie Trading as a Junior Derivatives Trader since 2022. He operates in Chicago, Illinois, where he applies his analytical skills and knowledge of derivatives in a fast-paced trading environment. His role involves engaging in quantitative research, which is supported by his strong interest in machine learning. This position allows him to utilize his educational background and practical experience in the financial sector.
Education and Expertise
Kevin Weng earned a Bachelor of Science in Mathematics and a Bachelor of Science in Statistics from the University of California, Los Angeles, where he studied from 2018 to 2022. His education included a specialization in Computing, which has equipped him with advanced analytical skills relevant to his current role in derivatives trading. This academic foundation supports his work in quantitative research and enhances his capabilities in data analysis.
Background
Before joining Valkyrie Trading, Kevin Weng worked as a Biostatistics Intern at UCSF Medical Center in the Goodarzi Lab from 2017 to 2019. This internship took place in the San Francisco Bay Area and provided him with practical experience in statistical analysis and research methodologies. His background in biostatistics contributes to his analytical approach in trading and research.
Interests in Machine Learning
Kevin Weng has a strong interest in machine learning, which aligns with his role in quantitative research and trading. This interest enhances his ability to analyze complex data sets and develop strategies in derivatives trading. His knowledge in machine learning complements his educational background in mathematics and statistics, allowing him to leverage technology in financial analysis.