Research Assistant in Machine Learning and Quantitative Finance

University-of-Oxford; Oxford; On-site; GBP 30,000 - 40,000; Full time

Job summary

The Oxford-Man Institute of Quantitative Finance in Oxford invites applications for a Research Assistant in Machine Learning and Quantitative Finance. The post is fixed-term for one year and reports to Professors Álvaro Cartea and Mihai Cucuringu.

The role will develop and apply modern ML and statistical methods to financial problems using large-scale datasets. You will hold or near-complete a first degree or integrated Master’s in mathematics, statistics, computer science, engineering or

Qualifications

• This degree in mathematics, statistics, CS, engineering or related quantitative discipline is required or nearly completed.
• Relevant research experience and ability to work within established research programmes.
• Experience with machine learning and statistical methods is desirable.

Responsibilities

• Research at the intersection of machine learning and quantitative finance.
• Develop, implement and empirically evaluate new research methodologies.
• Prepare research outputs for publication and presentation.

Skills

Machine learning

Quantitative finance

Python

Research experience

Education

Mathematics/Statistics/CS degree

Tools

NumPy/SciPy

Job description

Research Assistant in Machine Learning and Quantitative Finance

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‑re‑presented in positions of this type at Oxford.