Machine Learning Research Intern
IdeogramSalary not specified
Part Time
Entry Level & New Grad
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Finance, Investment ManagementIndustries
Requirements
- Current graduate student in a quantitative discipline, expecting to attain a Ph.D. degree in December 2026, or anytime in 2027
- Background in modern statistical methods and machine learning
- Key contributions to multiple top tier publications
- Programming experience and interest in software development techniques
- Must have the legal right to work in the UK prior to commencement of employment
- Interest in financial applications is essential (experience in finance is not a primary factor)
Responsibilities
- Work on complex problems with a research team that has collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory
- Apply expertise in a technical field such as statistics, mathematics, computer science, engineering, or operations research, to challenging problems in a burgeoning technical field
- Develop predictive models and other components of automated trading systems
- Engage in work ranging from data preparation to model development to production software implementation
Skills
Machine Learning
Statistics
Mathematics
Computer Science
Programming
Predictive Modeling
Data Preparation
Model Development
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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