Research Intern — AI/ML for Quant Finance

Voleon; Greater London; On-site; GBP 18,000 - 26,000; Full time

Job summary

Voleon invites a Research Intern to work with world-class ML scientists, statisticians, and engineers on frontier statistical machine learning. You will contribute to large, high-dimensional data research and develop models for trading systems under supervision of a top-tier research team.

The role emphasizes modern statistical methods, machine learning, and software development practices, with a pathway to impactful results in a fast-paced finance environment and a strong collaboration culture

Qualifications

• 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
• Authorization to work in the United Kingdom

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

Statistical methods

Machine learning

Programming

UK work authorization

Education

PhD candidate in quantitative discipline

Job description

Voleon invites a Research Intern to work with world-class ML scientists, statisticians, and engineers on frontier statistical machine learning. You will contribute to large, high-dimensional data research and develop models for trading systems under supervision of a top-tier research team.

The role emphasizes modern statistical methods, machine learning, and software development practices, with a pathway to impactful results in a fast-paced finance environment and a strong collaboration culture