Lead a team of data scientists to solve complex problems in finance using AI and ML. Drive innovative analytical frameworks and mentor staff.
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists.
As a Technical Lead – Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice.
Responsibilities
- Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders.
- Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies.
- Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects.
- Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility.
- Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness.
- Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews).
- Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation.
Requirements
- Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training.
- 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution.
- Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery.
- Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas.
- Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively.
- Basic software development skills and experience with bash, linux/unix, and git
- Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations.
- Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments.
Preferred
- Experience building or growing high-performing data science teams in production-aware or high-stakes settings.
- Exposure to financial markets, trading systems, or quantitative research environments.
- Familiarity with production monitoring systems, data quality pipelines, or analytics platform development.
- 7+ years of experience managing data scientists.
- Experience managing a large team or multiple teams.
Compensation
The base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match.
“Friends of Voleon” Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program.
Equal Opportunity Employer
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.
Top Skills
Airflow
Git
Pandas
R
SQL
The Voleon Group Berkeley, California, USA Office
Downtown, Berkeley, CA, United States, 94704
Similar Jobs
Healthtech • Insurance
As a Data Scientist II at Oscar, you'll drive data science projects, develop models, collaborate with cross-functional teams, and ensure quality outputs with minimal oversight.
Top Skills:
PythonRSQL
Artificial Intelligence
As a Senior Data Scientist at GeminiApp, you'll collaborate on product strategies, analyze complex datasets, develop metrics, and build models to enhance user experience.
Top Skills:
Machine LearningPythonRSQLStatistical Modeling
Real Estate • PropTech
As a Principal Data Scientist, you'll harness vast property and geospatial data to create analytical solutions, leveraging machine learning techniques and collaborating with engineering and product teams to drive innovation in the data business.
Top Skills:
GCPPysparkPythonSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
