ML Research Intern — Finance AI & Data Innovation

The-Voleon-Group; Greater London; On-site; GBP 18,000 - 24,000; Full time

Benefits offered by this job

Competitive compensation

Catered lunches

Modern office

Job summary

The Voleon Group in the United Kingdom seeks a Research Intern to collaborate with world-class machine learning scientists, statisticians, and engineers. You will work on cutting-edge statistical ML methods applied to large datasets and production-ready components of automated trading systems.

You will contribute to data preparation, model development, and software implementation while operating in a highly rigorous research environment with close mentorship and collaboration.

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

Education

Graduate student pursuing PhD (by Dec 2026 or 2027)

Tools

Python

TensorFlow

PyTorch

Job description

The Voleon Group in the United Kingdom seeks a Research Intern to collaborate with world-class machine learning scientists, statisticians, and engineers. You will work on cutting-edge statistical ML methods applied to large datasets and production-ready components of automated trading systems.

You will contribute to data preparation, model development, and software implementation while operating in a highly rigorous research environment with close mentorship and collaboration.