Member of Research Staff (remote)

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

Requirements

Candidates should possess a background in modern statistical methods and machine learning, demonstrating a track record as an applied researcher, along with strong mathematical abilities evidenced by a publication record, graduate coursework, or competition placement. Candidates must also have an interest in software development and a willingness to write production-level code using Python.

Responsibilities

As a Member of Research Staff, you will develop a rich understanding of Voleon’s challenges and methodologies, propose research innovations and experiments to build, maintain, and optimize predictive models, prepare and analyze new datasets to assess their predictive efficacy, develop, validate, and implement new models into production, design and conduct experiments to improve simulations and evaluate the success of new models in a live environment, and communicate and collaborate effectively with other research staff and software engineers to drive progress towards tangible outcomes.

Skills

machine learning

statistical methods

financial market prediction

portfolio optimization

Python

software development

research

data analysis

model development

model validation

model implementation

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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