The Voleon Group

3 Jobs

324 Employees

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 Scientist (USA-Remote)
Job Description: Job Title: Data Scientist (USA-Remote) Role Summary: Drive data‑driven investment insights by curating, analyzing, and visualizing complex financial datasets to inform research and production trading decisions. Expectations: - Deliver actionable insights that influence trading strategies and research outcomes. - Communicate findings clearly to research staff and executive leadership. - Maintain data integrity and reliability across live feeds and data stores. Key Responsibilities: - Design and implement systems for data correctness and health monitoring. - Detect and report abnormal production behavior to stakeholders. - Conduct ad‑hoc analyses on research and trading systems. - Apply statistical methods to uncover patterns and root causes. - Develop automated analysis pipelines for ongoing monitoring. Required Skills: - 1+ year applied end‑to‑end industry experience with complex datasets: curation, querying, aggregation, exploratory analysis, and visualization. - Proficiency in SQL, Pandas, and R for tabular data management. - Strong statistical analysis, pattern identification, root‑cause analysis, and actionable recommendation skills. - Mathematical framing of business questions and inference of forward‑looking insights. - Basic software development: bash, Linux/Unix, and Git. - Excellent written and verbal communication; ability to translate ambiguous requests into clear reports. Required Education & Certifications: - Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or related field). - Master’s degree in a quantitative discipline is preferred.

Company Name: The Voleon Group
Job Title: Technical Manager, Business Process & Automation
Job Description: **Job Title:** Technical Manager, Business Process & Automation **Role Summary:** Provides technical and managerial leadership for a high‑performing engineering team focused on FinOps automation. Acts as product owner, defines vision and roadmap, and delivers integrated tools and data solutions that improve operational efficiency across finance operations. Collaborates with engineering leadership, IT, and business stakeholders to align technology delivery with firm objectives. **Expectations:** - Lead, mentor, and grow a team of engineers while maintaining high engagement and retention. - Own and execute a clear, achievable roadmap aligned with FinOps priorities. - Deliver high‑quality automation solutions quickly, balancing technical depth and business impact. - Communicate effectively with stakeholders to understand workflows, define requirements, and make trade‑offs. **Key Responsibilities:** - Manage day‑to‑day activities of the engineering team. - Attract, hire, and retain top engineering talent. - Set ambitious yet realistic goals and ensure reliable delivery. - Partner with FinOps and other stakeholders to develop roadmap and vision. - Mentor individual contributors and foster continuous skill development. - Design and implement integrations, APIs, and data platform solutions that simplify complex systems. - Collaborate with VP of Engineering, IT Vendor Manager, and Corporate IT to execute the team’s strategy. **Required Skills:** - ≥5 years software engineering experience. - ≥2 years people‑management experience with a proven record of hiring and developing engineers. - Proficiency in at least one modern language (e.g., Python, Go, R, C/C++). - Strong product engineering fundamentals and ability to translate customer challenges into technical solutions. - Deep familiarity with APIs, integration best practices, and data‑product development. - Excellent communication, stakeholder management, and decision‑making abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science or equivalent practical experience.

Company Name: The Voleon Group
Job Title: Research Intern (London)
Job Description: Job title: Research Intern Role Summary: Collaborate with a world‑class research team in AI/ML to develop predictive models, data pipelines, and production tools for automated trading systems. Expectations: Graduate student in a quantitative discipline, on track for a Ph.D. by late 2026‑2027; strong statistical ML background; proven research record in top-tier journals; proficient in programming; legal right to work in the UK. Key Responsibilities: - Solve complex research problems alongside a team that publishes extensively in machine learning, systems, and theory. - Apply advanced statistics, mathematics, computer science, engineering, or operations research to high‑dimensional financial data. - Build, validate, and refine predictive models for automated trading. - Prepare data, develop models, and translate them into production‑ready software components. - Contribute to scholarly publications and internal technical presentations. Required Skills: - Expertise in modern statistical methods and machine learning (e.g., supervised/unsupervised learning, deep learning, Bayesian methods). - Hands‑on experience with Python, R, or equivalent; familiarity with NLP, reinforcement learning, or other cutting‑edge techniques preferred. - Strong programming practices: version control (Git), unit testing, and scalable code deployment. - Ability to analyze high‑dimensional datasets, feature engineering, and model evaluation. - Excellent written and oral communication for research dissemination. Required Education & Certifications: - Current graduate student (Masters or Ph.D.) in statistics, mathematics, computer science, engineering, or related quantitative field. - Expected completion of Ph.D. by December 2026 or any time in 2027. - Published at least two papers in peer‑reviewed, top‑tier conferences/journals. - Valid legal right to work in the United Kingdom.

London, United kingdom

Hybrid

Fresher

25-01-2026