Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead research in statistical quantitative finance and teach at a prestigious university.
- Company: Join the renowned Department of Statistics at the University of Oxford.
- Benefits: Competitive salary, college benefits, and a dynamic academic environment.
- Why this job: Make a significant impact in the field of finance with world-class resources.
- Qualifications: Doctorate in relevant field and outstanding research record required.
- Other info: Collaborate with top faculty and enjoy excellent career growth opportunities.
The predicted salary is between 50000 - 65000 Ā£ per year.
Location: Department of Statistics, University of Oxford, 24-29 St Gilesā, 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 SaĆÆd 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 stateāofātheāart 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 UKās 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 Ćlvaro 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:
- Your full CV with publications list (including your teaching and research experience, career details to date, and awards received)
- 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.
Ā£58,265 to Ā£77,645 per annum plus additional college benefits. An additional allowance of Ā£3,199 per annum would be made upon award of the title of Professor.
Associate Professorship (or Professorship) of Statistical Quantitative Finance/Financial Econom[...] in Oxford employer: Economicsnetwork
Contact Detail:
Economicsnetwork Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Associate Professorship (or Professorship) of Statistical Quantitative Finance/Financial Econom[...] in Oxford
āØTip Number 1
Network like a pro! Reach out to current faculty members or alumni from the Department of Statistics and the OMI. A friendly chat can give us insights into the culture and expectations, plus it might just put your name on their radar.
āØTip Number 2
Show off your research! Prepare a short presentation or a research summary that highlights your work in statistical quantitative finance and machine learning. This will help us see how you can contribute to our dynamic environment.
āØTip Number 3
Be ready for a collaborative vibe! Brush up on your teamwork skills because you'll be working with various departments. Highlight any past collaborations in your discussions to show us you're a team player.
āØTip Number 4
Donāt forget to apply through our website! Make sure your CV and supporting statement are top-notch and tailored to the role. We want to see your passion for teaching and research shine through!
We think you need these skills to ace Associate Professorship (or Professorship) of Statistical Quantitative Finance/Financial Econom[...] in Oxford
Some tips for your application š«”
Craft a Stellar CV: Your CV is your first impression, so make it count! Include all your relevant teaching and research experience, and donāt forget to list your publications. Keep it clear and concise, and remember to format it as a single PDF with the correct naming convention.
Nail Your Supporting Statement: This is your chance to shine! Use your supporting statement to showcase your research interests and how they align with our department's goals. Be specific about your achievements and future plans in statistical quantitative finance and financial econometrics.
Get Your References Sorted: Make sure you have two referees lined up who can vouch for your expertise and character. Let them know theyāll be contacted, and remind them to mention the job title and reference number in their emails. Itās all about making it easy for them!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. Double-check that youāve included everything we need before hitting submit, and donāt hesitate to reach out if you have any questions!
How to prepare for a job interview at Economicsnetwork
āØKnow Your Stuff
Make sure you have a solid grasp of statistical quantitative finance and financial econometrics. Brush up on your research, especially in data science and machine learning, as these are key areas for the role. Be ready to discuss your past work and how it aligns with the department's focus.
āØShow Your Teaching Skills
Since you'll be contributing to teaching, think about how you can demonstrate your teaching philosophy and experience during the interview. Prepare examples of how you've engaged students in the past and any innovative methods you've used to make complex topics accessible.
āØCollaborative Spirit
Highlight your ability to work collaboratively, especially since the role involves working with faculty from various departments. Share examples of successful collaborations and how they led to impactful research or teaching outcomes.
āØPrepare Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions about the department, its research environment, and future directions. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
