The Voleon Group
Alyssa Osborne is an experienced professional with a strong background in investor services and payroll administration. Currently serving as an Investor Services Specialist and Candidate Lead at The Voleon Group since February 2020, Alyssa contributes to a pioneering firm in machine learning investment. Prior roles include Payroll Analyst at Databricks, Payroll Administrator at Instacart, and various positions at Postmates, showcasing expertise in processing high-volume payroll and delivering exceptional customer service. Alyssa's career also includes positions in event management at the San Francisco Museum & Historical Society and retail experience with Apple Inc. Alyssa holds a B.A. in Humanities from San Francisco State University and an Associate of Arts in Liberal Arts from City College of San Francisco.
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.