Data Science Manager (New York) at The Voleon Group

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Investment ManagementIndustries

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

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

Skills

Key technologies and capabilities for this role

AIMachine LearningData ScienceStatistical AnalysisAnalytical PipelinesMentoringTeam ManagementResearch SystemsTrading SystemsData QualityReproducibility

Questions & Answers

Common questions about this position

What education is required for the Technical Lead in Data Science role?

A 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 is required.

What management experience is needed for this position?

Candidates need 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution.

Is this role remote or based in an office?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What does the company emphasize in its team culture?

The company fosters a culture of curiosity, collaboration, and applied experimentation, while championing best practices in data governance, tooling, and collaborative development.

The Voleon Group

Investment management using machine learning algorithms

About The Voleon Group

Voleon focuses on investment management by utilizing machine learning to analyze financial market trends. The firm uses advanced statistical models to process large datasets and identify patterns that inform investment decisions, setting it apart from traditional methods that rely on human intuition. Voleon serves institutional clients and operates on a performance-based fee structure, aligning its interests with those of its clients. The company's goal is to provide data-driven insights that optimize investment returns while adapting to changing market conditions.

Berkeley, CaliforniaHeadquarters

2007Year Founded

VENTURE_UNKNOWNCompany Stage

Quantitative Finance, Financial ServicesIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Paid Vacation

Paid Sick Leave

401(k) Retirement Plan

401(k) Company Match

Risks

Competition from other quantitative hedge funds may erode Voleon's market share.

Regulatory scrutiny on AI use in finance could increase compliance costs for Voleon.

Data quality issues could lead to inaccurate predictions and financial losses for Voleon.

Differentiation

Voleon uses machine learning for data-driven financial market predictions.

The firm serves institutional clients with a focus on scalability and risk management.

Voleon's academic approach emphasizes intellectual rigor and continuous learning.

Upsides

Increased interest in ESG investing offers new opportunities for Voleon's models.

Alternative data sources enhance predictive models for quantitative hedge funds like Voleon.

Cloud computing enables efficient scaling of Voleon's data processing capabilities.

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