Job Description & Qualification
Associate Professorship (or Professorship) of Statistical Quantitative Finance/Financial Econometrics

Department of Statistics, University of Oxford 24-29 St Giles’, Oxford, OX1 3LB

184064 - Associate Professorship (or Professorship) of Statistical Quantitative Finance/Financial Econometrics (2 posts)

The Department of Statistics and the Oxford Man Institute of Quantitative Finance (OMI) propose to appoint two Associate Professors (or Professors) of Statistical Quantitative Finance/Financial Econometrics from 1 September 2026 or as soon as possible thereafter.

The postholders will split their departmental time approximately 50/50 between the Department of Statistics and the OMI, but the appointment is formally held in the Department of Statistics. The successful candidates will be appointed to coterminous Fellowships by Special Election at Reuben College.

The position is offered on a permanent basis, subject to completion of a successful review, conducted during the first 5 years.

The appointments will be in the area of statistical quantitative finance/financial econometrics, in particular data science and machine learning applied to quantitative finance. The successful candidates will have a doctorate in an area relevant to the field of Statistical Quantitative Finance/Financial Econometrics and an outstanding research record. The postholders will lead an independent programme of research, have the potential to attract research funding and will be contributing to the teaching and administration of the Department of Statistics and the OMI. At the OMI, the postholders will collaborate with faculty members from various departments of the University (e.g., Mathematics and Saïd Business School).

The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and probability as well as applied statistics fields, econometrics, statistical and population genetics, bioinformatics and statistical epidemiology. We possess state-of-the-art facilities for our teaching and research, including two lecture theatres. Research from the Department of Statistics and the Mathematical Institute in Oxford was submitted together for the UK’s most recent national research assessment exercise, the Research Excellence Framework (REF) 2021. Overall, 78% of our submission was judged to be 4* (the highest score available, for research quality that is world-leading in terms of originality, significance, and rigour). This outstanding result is a testament to the breadth, quality and impact of the research produced by colleagues in our two departments, and the outstanding environment in which they work, supported by our excellent professional services staff.

More details here: https://www.stats.ox.ac.uk/jobs

For Additional Questions
alvaro.cartea@maths.ox.ac.uk

Website
https://www.stats.ox.ac.uk/jobs