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

University of Oxford - Department of Statistics

Location: Oxford
Salary: £58,265 to £77,645 per annum plus additional college benefits. An additional allowance of £3,199 per annum would be made upon award of the title of Professor
Hours: Full Time
Contract Type: Permanent
Placed On: 15th January 2026
Closes: 9th February 2026
Job Ref: 184064

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

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.

If you would like to discuss these posts and find out more about joining the academic community at Oxford, please contact Frank Windmeijer (frank.windmeijer@stats.ox.ac.uk) or Álvaro Cartea  (alvaro.cartea@maths.ox.ac.uk), and Dr Caroline Mawson (senior.tutor@reuben.ox.ac.uk) from Reuben College. All enquiries will be treated in strict confidence and will not form part of the selection decision.

To apply, please upload, within a single PDF document, the following:

  1. Your full CV with publications list (including your teaching and research experience, career details to date, and awards received),
  2. Your supporting statement as described above.

The name of the PDF attachment should be of the form 184064_Surname_Initials.pdf. Please do not attach additional material.

Candidates must also arrange for two referees to send supporting reference letters directly to hr@stats.ox.ac.uk, quoting the reference number & job title (184064, Associate Professorship (or Professorship) of Statistical Quantitative Finance/Financial Econometrics) on the subject line of the email, by the application deadline.  On your online application, please provide details of the two referees, and indicate whether the University may contact them now.

All applications must be received by 12.00 noon on Monday, 9th February 2026.

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