Data Scientist, Technical Lead (Remote-USA) at The Voleon Group

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Asset Management, Investment Management, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

AIMachine LearningData ScienceAnalytical SystemsTrading SystemsResearch SystemsStatistical RigorData QualityReproducibilityAnalytical PipelinesMentoringTechnical Leadership

Questions & Answers

Common questions about this position

Is this Data Scientist role remote?

Yes, the role is remote for candidates in the USA.

What salary or compensation does this position offer?

This information is not specified in the job description.

What are the key requirements for this Technical Lead role?

Candidates need a Master’s degree or higher in a quantitative field, 3+ years managing data scientists, strong data science fundamentals like statistical analysis and data preparation, and familiarity with data tooling.

What is the company culture like at Voleon?

Voleon fosters a culture of curiosity, collaboration, and applied experimentation, emphasizing continual growth, learning, onboarding new data scientists, and growing teams.

What makes a strong candidate for this Data Science Technical Lead position?

Strong candidates have demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, manage junior data scientists with performance development and technical direction, and ensure timely delivery.

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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