The Technical Lead in Data Science will mentor a team, shape analytical frameworks, collaborate on solutions, and ensure high data quality. Responsibilities include leading projects, investigating production behaviors, and driving best practices in data governance.
Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon’s deep real-world experience applying ML to financial markets.
We are seeking an entrepreneurial Technical Lead in Data Science who is excited to get in on the ground floor of a growing securities business. 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 fora 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.
“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.
We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Top Skills
Airflow
Bash
Git
Linux/Unix
Pandas
R
SQL
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