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Lani Bercasio

Candidate Lead at The Voleon Group

Lani Bercasio is an experienced recruitment professional currently serving as a Candidate Lead at The Voleon Group since March 2023. Prior to this role, Lani held the position of Leadership Recruiting Coordinator at Meta from January 2018 to January 2023. Additional experience includes positions as HR Associate III/Global Relocation Specialist and Recruiting Coordinator at Tesla between October 2012 and December 2017, as well as a Recruiting Coordinator role at Castlight Health from April 2011 to October 2012. Earlier experience includes working as a Staffing Coordinator at Nursefinders and NetApp and a Marketing Coordinator at QuinStreet. Lani Bercasio holds educational qualifications from San Jose State University and Sacred Heart Cathedral Prep.

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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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