Research Assistant in Machine Learning and Quantitative Finance

University of Oxford; Oxford; On-site; GBP 28,000 - 36,000; Full time

Job summary

University of Oxford’s Oxford-Man Institute of Quantitative Finance invites applications for a Research Assistant in Machine Learning and Quantitative Finance. The role is fixed-term for 1 year and reports to Professors Cartea and Cucuringu, tackling ML and statistical methods applied to financial markets.

You will hold or near-complete a first degree or integrated Master’s in a relevant quantitative field and contribute to development, implementation and empirical evaluation of new methods,

Qualifications

• Hold or be close to completing a first degree or integrated Master’s in mathematics, statistics, computer science, engineering, or another relevant quantitative discipline.
• Possess relevant research experience.
• Sufficient specialist knowledge to work within established research programmes.

Responsibilities

• Develop and apply modern machine learning and statistical methods to problems in financial markets.
• Empirically evaluate new research methodologies and implement them.
• Prepare research outputs for publication and presentation.

Skills

Machine learning

Quantitative finance

Statistics

Education

First degree or integrated Master’s in mathematics, statistics, computer science, engineering or related quantitative discipline

Job description

Oxford-Man Institute of Quantitative Finance (OMI), Eagle House, Walton Well Road, Oxford

Research Assistant in Machine Learning and Quantitative Finance

This post is fixed-term until for 1 year.

Reporting to Professor Álvaro Cartea, the post holder will undertake research at the intersection of machine learning and quantitative finance, working as part of a research team led by Professor Álvaro Cartea and Professor Mihai Cucuringu. The research will focus on the development and application of modern machine learning and statistical methods to problems arising in financial markets, with particular emphasis on large-scale financial datasets and quantitative modelling. The post holder will contribute to the development, implementation and empirical evaluation of new research methodologies, and to the preparation of research outputs for publication and presentation.

You will Hold, or be close to completing, a first degree or integrated Master’s degree in mathematics, statistics, computer science, engineering, or another relevant quantitative discipline, together with relevant research experience. You will also possess sufficient specialist knowledge in the discipline to work within established research programmes.

We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. As part of our commitment to openness, inclusivity and transparency, we would particularly welcome applications from women and black and minority ethnic candidates, who are currently under-represented in positions of this type at Oxford.

Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description.

Only applications received before 12.00 noon UK time on 14.10.2026 can be considered. Interviews are anticipated to be held shortly after.