Ziyang Zhang

Data Analyst at The Voleon Group

Ziyang Zhang is a data analyst at The Voleon Group since February 2022, specializing in production operations, data engineering, and financial systems. Prior experience includes a role as a data scientist at Mogul Hospitality from April 2021 to January 2022 and a data science internship at Autocase (by Impact Infrastructure) in late 2020. Ziyang holds a Master of Science in Operations Research from Columbia University, obtained between September 2019 and February 2021, and a Bachelor of Science in Mathematics from Penn State University, completed in 2019. Ziyang's foundational education includes a high school diploma in Mathematics and Statistics from The High School Affiliated to Renmin University of China, earned from 2011 to 2014.

Location

San Francisco, United States

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The Voleon Group

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Founded in 2007 by two machine learning scientists, The Voleon Group is a quantitative hedge fund headquartered in Berkeley, CA. We are committed to solving large-scale financial prediction problems with statistical machine learning.  The Voleon Group combines an academic research culture with an emphasis on scalable architectures to deliver technology at the forefront of investment management. Many of our employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines.  Voleon's CEO holds a Ph.D. in Computer Science from Stanford and previously founded and led a successful technology startup. Our Chief Investment Officer and Head of Research is Statistics faculty at UC Berkeley, where he earned his Ph.D. Voleon prides itself on cultivating an office environment that fosters creativity, collaboration, and open thinking. We are committed to excellence in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility. The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.  


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51-200

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