Zhengnan Z.
About Zhengnan Z.
Zhengnan Z. is a Quantitative Software Engineer at Two Sigma, where he has worked since 2022. He holds a Master's Degree in Financial Engineering from the University of California, Berkeley, and has extensive experience in software engineering and data science from his previous roles at Capital One and Barclays Investment Bank.
Work at Two Sigma
Zhengnan Z. has been employed at Two Sigma as a Quantitative Software Engineer since 2022. In this role, he focuses on enhancing and hardening the capabilities of trading simulators. His work contributes to the development of advanced trading technologies and strategies within the firm, which is based in New York, New York.
Previous Experience at Capital One
Prior to joining Two Sigma, Zhengnan Z. held multiple positions at Capital One. He served as Manager of Software Engineering and Data Science from 2020 to 2022, and as Senior Manager in the same field for a brief period in 2022. He also worked as a Principal Associate in Software Engineering and Data Science from 2018 to 2020, and as a Senior Associate in Quantitative Analysis from 2016 to 2018. His roles involved leading teams and managing projects focused on software engineering and data science.
Education and Expertise
Zhengnan Z. holds a Master’s Degree in Financial Engineering from the University of California, Berkeley. He also earned a Bachelor's Degree in Economics from New York University. His educational background provides a strong foundation in quantitative analysis, software engineering, and financial modeling.
Internship at Barclays Investment Bank
Zhengnan Z. gained early experience in the finance sector as an intern at Barclays Investment Bank. He worked in the Quantitative Analytics division for three months in 2015, where he was exposed to quantitative methods and financial analysis.
Open Source Contributions
Zhengnan Z. engages in open source activities on GitHub under the username zzhengnan. His contributions to open source projects reflect his commitment to collaboration and knowledge sharing within the software engineering community.