
Solving large-scale financial prediction problems with statistical machine learning501-1000 Employees
- B2B
- Growth StageExpanding market presence
- 4.9Highly ratedThe Voleon Group is highly rated on Glassdoor, with 4.9 out of 5 stars
- 4.7Work / Life BalanceEmployees rate The Voleon Group 4.7/5 on Glassdoor for work / life balance
- 4.7Strong LeadershipEmployees rate The Voleon Group 4.7/5 on Glassdoor for faith in leadership
The Voleon Group careers
Co-founded in 2007 by two leading scientists, The Voleon Group combines an academic approach to research with an emphasis on scalability and risk management to deliver cutting-edge technology at the forefront of the finance industry. Many of our leaders and employees hold doctorates in statistics, computer science, and mathematics, among other quantitative disciplines. We are committed to exemplary performance in all aspects of our research and operations, while maintaining a culture of intellectual curiosity and flexibility.
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/Head of Research is a Statistics faculty member at UC Berkeley, where he earned his Ph.D.
At Voleon, we approach investment management through the prism of machine learning, in which flexible statistical models are applied to the problem of financial prediction. Rather than having humans look at individual events within the marketplace, machine learning employs statistical algorithms capable of detecting persistent effects across large swaths of data. Besides financial markets, there is a wide array of other real-life applications for machine learning, from medical diagnosis to weather prediction.
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/Head of Research is a Statistics faculty member at UC Berkeley, where he earned his Ph.D.
At Voleon, we approach investment management through the prism of machine learning, in which flexible statistical models are applied to the problem of financial prediction. Rather than having humans look at individual events within the marketplace, machine learning employs statistical algorithms capable of detecting persistent effects across large swaths of data. Besides financial markets, there is a wide array of other real-life applications for machine learning, from medical diagnosis to weather prediction.
Director, Program Management Office
In office • Berkeley
$250k – $300kSenior Software Engineer, Platform Team
Remote only • New York City, New York • Berkeley, California • United States
$225k – $255kSenior Treasury Analyst
Remote only • United States
$120k – $150kSenior Linux Infrastructure Engineer
Remote only • United States
$215k – $250kSasS Systems Administrator (Corporate IT)
In office • Berkeley
$135k – $165kTechnical Recruiter, Research & Data Science
Remote only • United States
$110k – $180kSenior Software Engineer, Execution Engineering
In office • New York City • Berkeley
$225k – $255kSenior Research Engineer - Voleon Securities
Remote only • Berkeley, California • New York City, New York
$225k – $310kSoftware Engineer, Business Process & Automation
In office • Toronto
Site Reliability Engineer
Remote only • United States • Berkeley, California
$115k – $135kJosé Alfaro
Shaimaa Abdelhamid
Christopher Aldaco