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24-29 St Giles’, Oxford, OX1 3LB

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

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

Associate Professor (or Professor)

9 February 2026, 12:00 noon

Location

24-29 St Giles’, Oxford, OX1 3LB, UK

University of Oxford

Type

Permanent (subject to 5-year review)

Start Date

1 September 2026 or as soon as possible thereafter

Salary

£58,265 - £77,645 per annum + college benefits; +£3,199 for Professor title

Teaching Load

Contribute to teaching and administration in Department of Statistics and OMI

Required Qualifications

Doctorate in Statistical Quantitative Finance/Financial Econometrics
Outstanding research record
Ability to lead independent research programme
Potential to attract research funding
Teaching and administration experience

Research Areas

Statistical Quantitative Finance
Financial Econometrics
Data Science in Quantitative Finance
Machine Learning applied to Finance
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Associate Professorship (or Professorship) of Statistical Quantitative Finance/Financial Econometrics (2 posts)

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.

If you would like to discuss these posts and find out more about joining the academic community at Oxford, please contact Frank Windmeijer or Álvaro Cartea, 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.

Contact Person: HR Administrator
Vacancy ID: 184064
Contact Number: 01865282926
Closing Date & Time: 09-Feb-2026 12:00
Contact Email: hr@stats.ox.ac.uk
Pay Scale: ASSOCIATE PROFESSOR (NON-TF)
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

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Frequently Asked Questions

🎓What qualifications are required for the Associate Professorship in Statistical Quantitative Finance?

Candidates need a doctorate in a relevant area such as Statistical Quantitative Finance or Financial Econometrics, plus an outstanding research record. Experience in data science and machine learning applied to quantitative finance is essential. Learn more about crafting a strong academic CV for such roles.

📝What is the application process and deadline?

Submit a single PDF with your full CV (including publications, teaching, research) and supporting statement, named 184064_Surname_Initials.pdf. Arrange two referees to email letters to hr@stats.ox.ac.uk by the deadline. Applications close at 12:00 noon on 9 February 2026. Explore professor jobs for more tips.

💰What is the salary and employment type?

Salary is £58,265 to £77,645 per annum plus additional college benefits; an extra £3,199 upon award of Professor title. The role is permanent, subject to a successful review in the first 5 years. Check professor salaries for comparisons in higher education.

🔬What research areas and responsibilities are involved?

Focus on statistical quantitative finance, financial econometrics, data science, and machine learning in finance. Postholders lead independent research, attract funding, collaborate across departments, and contribute to teaching/administration. Split time 50/50 between Department of Statistics and OMI. See research jobs for similar opportunities.

👨‍🏫What teaching and collaboration duties are expected?

Contribute to teaching and administration in the Department of Statistics and Oxford Man Institute. Collaborate with faculty from Mathematics, Saïd Business School, etc. Includes a coterminous Fellowship at Reuben College. Prepare with advice on becoming a university lecturer.

📞Who should I contact for enquiries about the position?

Contact Frank Windmeijer (frank.windmeijer@stats.ox.ac.uk), Álvaro Cartea (alvaro.cartea@maths.ox.ac.uk), or Dr Caroline Mawson (senior.tutor@reuben.ox.ac.uk) from Reuben College. HR: hr@stats.ox.ac.uk or 01865282926. Enquiries are confidential. Browse faculty jobs at Oxford and beyond.
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