V

Voleon

10-50 employees

WebsiteLinkedIn
investment-management
finance
About Voleon

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.

2 months ago

Data Scientist

New York, New York - Hybrid
Full-time
Mid Level
Data Scientist
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Description
  • The Voleon Group is seeking a Data Scientist, Technical Lead in New York to oversee and execute advanced data analysis, modeling, and research initiatives.
  • The role involves leading a team of data scientists, developing innovative algorithms, and collaborating with cross-functional teams to solve complex problems.
  • The position offers an opportunity to work in a dynamic, research-focused environment with a focus on machine learning and data-driven decision making.
  • The role requires strong technical expertise, leadership skills, and experience in data science and analytics.

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Requirements
  • Experience scripting in a UNIX command line environment (Linux or macOS) for data analysis
  • Legal authorization to work in the United States
  • Ability to lead data science projects and teams
  • Strong background in machine learning, statistics, or related fields
  • Proficiency in programming languages such as Python or R
  • Experience with data analysis, modeling, and algorithm development

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Benefits
  • Competitive salary and compensation package
  • Hybrid work environment in New York
  • Opportunities for professional growth and development
  • Collaborative and research-driven work culture