Wei Wu
About Wei Wu
Wei Wu is a Senior Trader at Valkyrie Trading, where he has worked since 2021. He has extensive experience in trading and research roles across various firms, including Ketchum Trading and China Everbright Bank, and holds advanced degrees in Financial Mathematics and Applied Mathematics.
Current Role at Valkyrie Trading
Wei Wu currently serves as a Senior Trader at Valkyrie Trading, a position held since 2021. In this role, he applies his extensive trading knowledge and skills in a competitive environment, contributing to the firm's trading strategies and operations. His experience in quantitative trading aligns with the high-stakes nature of the industry.
Previous Experience in Trading
Wei Wu has a diverse background in trading, having worked at several firms prior to his current role. He was a Trader at Valkyrie Trading from 2018 to 2021. His previous positions include Execution Trader at Galaxy Futures from 2013 to 2014 and Trader Assistant at China Everbright Bank in 2012. These roles provided him with valuable insights into market dynamics and trading strategies.
Internship Experience
Wei Wu has completed multiple internships that have contributed to his professional development. He interned at Ketchum Trading, LLC. for two months in 2015, and at Caiman Trading as a Research Intern for another two months in the same year. Additionally, he interned at Altimus Capital LLC for five months from 2014 to 2015. These experiences allowed him to gain practical knowledge in trading and research.
Educational Background
Wei Wu holds a Master of Science (M.Sc.) in Financial Mathematics from The University of Chicago, which he completed from 2014 to 2015. He also earned a Bachelor of Applied Science (B.A.Sc.) in Applied Mathematics from Beihang University, studying from 2009 to 2013. His educational background provides a strong foundation for his career in quantitative trading.
Skills and Professional Development
Wei Wu has a passion for working in competitive environments, which is essential in the field of quantitative trading. He demonstrates a commitment to continuous professional development, actively seeking to learn new concepts and techniques relevant to the fast-evolving trading landscape.