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

United States

The Voleon Group Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Finance, Asset Management, Investment Management, BiotechnologyIndustries

Requirements

Candidates must possess a Master's degree or higher in a quantitative field such as Data Science, Statistics, Computer Science, Engineering, or Finance, or an MBA with strong analytical training. A minimum of 3 years of experience managing data scientists, including performance development, technical direction, and project execution, is required. Strong understanding of data science fundamentals, including statistical analysis and data preparation, is essential. Familiarity with data tooling and workflows like SQL, Pandas, and R, along with basic software development skills in bash, Linux/Unix, and Git, is necessary. Experience communicating complex findings to executive and technical stakeholders is also a requirement. Preferred qualifications include experience building or growing high-performing data science teams, exposure to financial markets or trading systems, familiarity with production monitoring systems, 7+ years of experience managing data scientists, and experience managing a large team or multiple teams.

Responsibilities

The Data Scientist, Technical Lead will provide technical direction and management for a team of data scientists working on trading and research systems. Responsibilities include shaping analytical frameworks, ensuring methodological rigor, and delivering insights to inform business and research decisions. They will collaborate with stakeholders in engineering, research, and leadership to drive innovation and excellence. Key duties involve defining priorities, scoping solutions, owning investigations of complex production behaviors, designing methods for analyzing system anomalies, and mentoring junior data scientists. The role also entails setting standards for data quality, statistical rigor, and reproducibility, leading the design and deployment of analytical pipelines, championing best practices in data governance and tooling, and fostering a culture of curiosity and collaboration within the team.

Skills

AI
Machine Learning
Data Science
Analytical Systems
Trading Systems
Research Systems
Statistical Rigor
Data Quality
Reproducibility
Analytical Pipelines
Mentoring
Technical Leadership

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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