Research Assistant - ML & 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

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,