The Voleon Group

Data Scientist (Remote)

United States

The Voleon Group Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Asset Management, Artificial Intelligence, AI & Machine LearningIndustries

Requirements

Candidates are required to have at least one year of applied end-to-end industry experience, including internships, working with complex datasets such as curation, querying, aggregation, exploratory data analysis, and visualization. Applicants must possess experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions, along with the ability to frame and answer questions mathematically. Fluency in managing, processing, and visualizing tabular data using SQL, Pandas, and R is also required, alongside basic software development skills including bash, Linux/Unix, and Git. A Bachelor’s degree in a quantitative discipline, such as statistics, biostatistics, data science, computer science, or a related field, is necessary.

Responsibilities

As a Data Scientist, responsibilities include designing and implementing systems to ensure data correctness and monitor data health in data stores and live feeds, proactively identifying abnormal production behavior and communicating them clearly to stakeholders, performing extemporaneous analyses on research and production trading systems with leadership, harnessing financial expertise and statistical analysis to gain actionable insights into our production trading and research systems, and designing and implementing analysis pipelines that automate those analyses found to be valuable for ongoing monitoring.

Skills

Data analysis
Data curation
Data visualization
Statistical analysis
Machine learning
Financial expertise
Data pipeline automation

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.

Key Metrics

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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