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Research Assistant

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University of Oxford

Oxford

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Research Assistant

RESEARCH GRADE 6

5 June 2026, 12:00 midday

Location

Oxford

University of Oxford

Type

Staff / Administration

Salary

£35,681-£39,105

Required Qualifications

Quantitative methods
Machine learning technologies
Economics or finance degree
Strong research background
Pro-active learning approach

Research Areas

Financial Inclusion
Fairness and Stability in the AI Era
Financial economics
79% Job Post Completeness

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Research Assistant

The Saïd Business School is looking for a Research Assistant to support a project on Financial Inclusion, Fairness and Stability in the AI Era, which is managed by Prof Ansgar Walther.

The successful candidate will work closely with faculty involved in the project, supporting the delivery of various related research projects in financial economics. The postholder will be a member of the Saïd Business School’s research community with access to internal research seminars and other professional development programmes.

This is an excellent opportunity to gain academic research experience and to learn from leading academics. The ideal candidate for this role will have a strong research background and a pro-active approach to learning new skills. We’re looking for candidates with proficiency in quantitative methods, particularly those related to machine learning technologies. A recent degree in the economics or finance — and a desire to pursue a research career in economics of finance after completion of the post — would be beneficial. Experience working with academic faculty on advanced research projects would be an advantage.

To read the full information about this post including responsibilities and selection criteria, please view the attached 'Job Description' document below. To submit an application, please click the 'Apply Now' button below and follow the steps provided.

The deadline for applications for this role is 12 midday on Friday 5th June 2026.

Pay Scale: RESEARCH GRADE 6

Salary: £35,681-£39,105

Contact: facultyrecruitment@sbs.ox.ac.uk

Closing Date & Time: 05-Jun-2026 12:00

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Frequently Asked Questions

🎓What are the key qualifications for this Research Assistant role?

The ideal candidate needs a recent degree in economics or finance, proficiency in quantitative methods especially machine learning technologies, and a strong research background. A pro-active approach and desire for a research career in economics or finance are essential. Experience with academic faculty on advanced projects is advantageous. Explore research assistant jobs for similar roles or tips to excel as a research assistant.

🔬What does the Research Assistant role involve at Saïd Business School?

Support Prof Ansgar Walther's project on Financial Inclusion, Fairness and Stability in the AI Era. Work closely with faculty on financial economics research projects, join the research community, attend seminars, and access professional development. This builds academic research experience with leading academics. See research jobs for more opportunities.

💰What is the salary and employment details?

Salary is £35,681-£39,105 on RESEARCH GRADE 6. This is a staff position in administration/support at University of Oxford, Oxford location. Full details in the job description document. Compare with professor salaries or university salaries.

📝How do I apply for this Research Assistant position?

View the full job description and selection criteria in the attached document. Click 'Apply Now' and follow steps. Deadline: 12 midday, Friday 5th June 2026. Contact facultyrecruitment@sbs.ox.ac.uk for queries. Use our free resume template and free cover letter template to prepare.

🚀What career development opportunities are available?

Gain hands-on academic research experience from leading academics, access internal research seminars and professional development programmes. Ideal for pursuing a research career in economics or finance. Check postdoctoral success tips or postdoc jobs for next steps.

🤖Is this role suitable for machine learning enthusiasts in finance?

Yes, proficiency in machine learning technologies and quantitative methods related to financial economics is key. Supports projects on Financial Inclusion and AI Era stability. Browse faculty jobs or administration jobs for related positions.
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