Member of Research Staff (remote) at The Voleon Group

United States

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Not SpecifiedCompensation

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

Full TimeJob Type

YesVisa

Finance, Asset Management, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

machine learningstatistical methodsfinancial market predictionportfolio optimizationPythonsoftware developmentresearchdata analysismodel developmentmodel validationmodel implementation

Questions & Answers

Common questions about this position

Is this position remote?

This information is not specified in the job description.

What is the salary for this role?

This information is not specified in the job description.

What skills are required for the Member of Research Staff position?

Candidates need a background in modern statistical methods and machine learning, a track record as an applied researcher, strong mathematical abilities (such as publication record, graduate coursework, or competition placement), and interest in software development with willingness to write production-level Python code.

What is the company culture like at Voleon?

Voleon supports a culture of curiosity, collegiality, and creativity, focused on applying machine learning to investment management.

What are the application requirements or tips for this position?

Relocation and work visa eligibility are required for qualified candidates.

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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