The Role
Lead a team to maintain and evolve analytics pipelines and data models, collaborate with engineering and research, and manage stakeholder communication.
Summary Generated by Built In
Voleon is a technology company applying state-of-the-art machine learning to real-world financial problems. With over a decade of leadership in our industry, we've built a multibillion-dollar asset management firm and continue to drive ambitious innovations. Voleon is a technology company applying state-of-the-art machine learning to real-world financial problems. With over a decade of leadership in our industry, we’ve built a multibillion-dollar asset management firm and continue to drive ambitious innovations.
As Technical Manager, Strategy Research Analytics, you will lead a high-impact team responsible for maintaining and evolving Voleon’s core analytics pipelines and data models — ensuring reliability today while building toward a world-class analytics platform that accelerates our core strategy research velocity and insight generation. Operating at the intersection of research, engineering, and data infrastructure, you’ll translate the needs of researchers and data scientists into robust, scalable, and reproducible analytics systems.
You’ll collaborate with leaders across Research, Engineering, ProdOps, and Data Infrastructure to define a clear roadmap for analytics enablement, drive operational excellence, and empower data scientists to focus on high‑value research analysis. You’ll drive team execution, clarify ownership boundaries, and ensure visibility and accountability for a growing, mission-critical capability within the research organization.
Your Team
The Research Analytics team sits within Research Engineering and works closely with Data Scientists and Researchers across all of Voleon's core strategies. We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. You’ll work alongside experienced engineers recruited from leading technology companies and selected from the sharpest minds at university programs.
The team’s mission is to:
Deliver reliable, monitored, and observable analytics pipelines that underpin our most critical research insights.
Design and maintain a consistent, queryable analytics data model that supports scalable, reproducible analysis in a distributed compute environment.
Enable modern analytical tooling (Presto, Spark, Dask, Polars) to improve accessibility and speed of research workflows.
Promote data transparency, discoverability, and documentation as first-class engineering objectives.
Responsibilities
- Recruit, mentor, and develop a diverse team of engineers and data specialists, starting with a small core team that will grow to meet the evolving needs of the organization. Build capacity not only to maintain existing pipelines but also to develop and execute on a forward-looking vision for a scalable, world-class analytics platform
- Work with existing stakeholders to define and communicate a long-term strategy for analytics infrastructure and enablement, building a vision that solves real-world problems for our data scientists and extends toward a standardized, industry-class analytics platform
- Lead team execution in a complex, fast-paced research environment, reducing friction and optimizing workflows
- Influence laterally across engineering and research teams to align roadmaps, shape priorities, and drive shared goals
- Ensure robust communication of team progress, creating transparency and credibility with senior stakeholders
- Oversee consistent, well-documented, and queryable data models that power research today, and extend these frameworks toward the broader vision of a unified analytics platform
Requirements
- Bachelor’s degree in Computer Science or equivalent professional experience
- 3+ years of proven experience managing geographically distributed software engineering teams
- 3+ years of experience managing engineering or data teams focused on analytics or data infrastructure
- Demonstrated success managing through ambiguity, influencing without direct authority, and leading complex cross-team initiatives
- Exceptional stakeholder management and communication skills, capable of clearly articulating vision, progress, and impact
- Proven ability to attract, hire, mentor, and retain exceptional engineering talent
- Product-focused mindset, with experience shaping product vision, defining roadmaps, and delivering high-impact platform solutions
- Strong background in modern data infrastructure and modeling (e.g., SQL, Presto, Spark, Dask, Polars)
- Strong understanding of query optimization and performance tuning in SQL and experience with columnar storage formats (e.g., Parquet, ORC)
- Demonstrated experience designing normalized and denormalized data structures for analytical workloads
Preferred Qualifications
- Familiarity with AWS cloud technologies and on-prem compute clusters (e.g., Slurm, SSH, Unix)
- Familiarity with Airflow for data orchestration pipelines
- Exposure to quantitative research or machine learning environments
- Experience managing operationally critical, high-availability systems, ensuring precision, reliability, and robustness
- Expertise in metadata management, data lineage, and applying robust data governance principles
The base salary range for this position is $225,000 to $255,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. 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, life and AD&D insurance, 20 days of paid time off, 9 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 make sure to 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
AWS
Dask
Polars
Presto
Spark
SQL
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The Company
What We Do
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.
