Data Scientist, Trading Operations at The Voleon Group

Berkeley, California, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Investment Management, Quantitative FinanceIndustries

Skills

Key technologies and capabilities for this role

Machine LearningData PipelinesData CurationData AnalysisData VisualizationStatistical AnalysisQuantitative AnalysisTrading AlgorithmsPortfolio OptimizationExecution Algorithms

Questions & Answers

Common questions about this position

What compensation or benefits does Voleon offer?

Voleon offers highly competitive compensation and benefits packages.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this Data Scientist role?

Candidates need 1+ years of applied end-to-end industry experience with complex datasets including curation, querying, aggregation, exploratory data analysis, and visualization, plus experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, and recommend solutions, along with the ability to frame and answer questions.

What is the company culture like at Voleon?

Voleon has an enriching and collegial working environment with colleagues from diverse backgrounds, a team that loves to succeed together, technology talks, a beautiful modern office, and daily catered lunches.

What makes a strong candidate for this Data Scientist position?

Strong candidates have 1+ years of hands-on experience with complex datasets through curation, analysis, and visualization, proficiency in statistical methods for insights and root cause analysis, and the ability to frame and answer quantitative questions effectively.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free