The Voleon Group
Elizabeth Uliva is an experienced professional in investor relations and business development, currently employed at The Voleon Group since August 2023. Prior to this role, Elizabeth served as Vice President in Systematic Advisory Sales at Morgan Stanley from July 2017 to July 2023, where responsibilities included the sales and distribution of quantitative assets, leadership of cross-divisional committees, oversight of the Alpha Capture product, and collaboration with various quantitative research teams. Previous roles at Morgan Stanley also included an Associate position in Prime Brokerage Capital Introductions and a Co-op role in the same area. Elizabeth's career commenced at Wellington Management as a Trade Operations Co-op. Educational background includes a degree from Northeastern University.
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.