Research Intern (London) at The Voleon Group

London, England, United Kingdom

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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

Key technologies and capabilities for this role

Machine LearningStatisticsMathematicsComputer ScienceProgrammingPredictive ModelingData PreparationModel Development

Questions & Answers

Common questions about this position

What are the compensation and benefits like for this Research Intern position?

Voleon offers highly competitive compensation and benefits packages.

Is this Research Intern role remote or based in an office?

This information is not specified in the job description.

What skills and qualifications are required for the Research Intern role?

Requirements include being a current graduate student expecting a Ph.D. by December 2026 or 2027, background in modern statistical methods and machine learning, key contributions to top-tier publications, programming experience, legal right to work in the UK, and interest in financial applications.

What is the company culture like at Voleon?

Voleon provides an enriching and collegial working environment with colleagues who are internationally recognized experts in AI/ML, statisticians, and finance professionals, including technology talks by experts.

What makes a strong candidate for this Research Intern position?

Strong candidates are current Ph.D. students in quantitative fields with a background in statistical methods and machine learning, key contributions to top-tier publications, programming skills, UK work authorization, and interest in financial applications.

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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