The Voleon Group

About the Company

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.

Listed Jobs

Company Name

The Voleon Group

Job Title

Data Analyst

Job Description

Job Title: Data Analyst Role Summary: Own and simplify data flows for production trading algorithms, ensuring continuous operation through on‑call support, data integrity, and automated pipeline improvements. Expectations: Reliable on‑call responder, data quality champion, contributor to scalable data ingestion and analytics for ML-driven finance. Key Responsibilities: • Participate in on‑call rotation, first‑response to production‑critical system alerts. • Perform manual and automated tasks to validate completeness and integrity of large financial datasets (stocks, bonds, futures, commodities). • Partner with research staff to curate, onboard, and maintain new and existing datasets. • Design and implement systematic, automated processes and tools that scale and increase reliability of data‑consumption pipelines. • Drive continuous improvement of data quality procedures and metrics, reporting in production environments. Required Skills: • Strong problem‑solving, pattern detection, root‑cause analysis, and issue resolution. • Proficiency in Python and pandas for data manipulation and analysis. • SQL expertise and experience with relational database systems. • Comfortable with Linux operating environment. Required Education & Certifications: • Bachelor’s degree in a technical field (computer science, data science, engineering, or related). • Relevant coursework or training in data analytics, programming, or computing systems.

United states

Remote

09-03-2026