The Voleon Group Logo

The Voleon Group

Data Scientist, Technical Lead (New York)

Sorry, this job was removed at 12:11 a.m. (EST) on Saturday, Apr 25, 2026
Hybrid
New York, NY, USA
195K-225K Annually
Hybrid
New York, NY, USA
195K-225K Annually

Similar Jobs

8 Days Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
184K-250K Annually
Expert/Leader
184K-250K Annually
Expert/Leader
Fintech • HR Tech
As a Principal Data Scientist at Gusto, you will lead data-driven strategies in payments, collaborate with engineering teams, drive A/B testing, develop predictive models, and build AI-native data products, ensuring data integrity and influencing business decisions.
Top Skills: AIPythonSQL
3 Days Ago
In-Office or Remote
6 Locations
Senior level
Senior level
Insurance
The Senior Data Scientist will lead data science initiatives, develop predictive models, support pricing analytics, and mentor team members at Independence Pet Holdings.
Top Skills: DatabricksPower BIPythonRSnowflakeSQLSQL Server
10 Days Ago
In-Office
New York, NY, USA
160K-200K Annually
Mid level
160K-200K Annually
Mid level
Software
The Data Scientist will analyze data, design data models, maintain pipelines, and collaborate with teams for data-driven decision-making.
Top Skills: AWSAzureDbtGCPLookerPower BIRedshiftSegmentSQLTableau
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.  

“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 $7,500 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.


#LI-MD1

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account