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Deadline: 27 February 2026
North West, All England
The democratization of finance is transforming global asset management. Retail investors, empowered by trading apps and AI-driven platforms, now control a rapidly expanding share of global assets projected to reach 62% by 2030. While this growth fosters financial inclusion, it also creates new and underexplored risks at the intersection of technology, human behaviour, and market structure.
This PhD project will investigate systemic financial risks emerging from the convergence of agentic artificial intelligence and retail trading platforms. Using a combination of experimental analysis, threat modelling, and proof-of-concept demonstrations, the research will identify and map vulnerabilities that may impact both individual investors and global financial stability, as well as evaluate their broader socio-economic implications.
The successful candidate will join a multidisciplinary supervisory team of experts in AI, cybersecurity, and finance, based in the state-of-the-art £117M Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities for publication, conference participation, and industry collaboration.
As part of our inclusive and supportive doctoral community, you will benefit from tailored training, mentorship, and professional development designed to prepare you for a career at the intersection of technology and finance.
This project aims to investigate the financial and systemic risks arising from the integration of agentic artificial intelligence and retail trading platforms (neo-brokers), and to assess their broader socio-economic consequences for investors and markets.
The research will identify and characterise emerging vulnerabilities through experimental analysis, threat modelling, and proof-of-concept demonstrations, evaluate the potential impacts of these risks on retail investors and financial stability, and develop approaches to enhance security and resilience, helping to build trust in AI-enabled retail investment ecosystems.
The qualifications, skills, knowledge and experience applicants should have for this project, in addition to our standard entry requirements.
The successful applicant is expected to have:
Both Home and International students can apply. Only home tuition fees will be covered for the duration of the 3.5 year award, which is £5,006 for the year 2025/26. Eligible international students will need to make up the difference in tuition fee funding (Band 2 for the year 2025/26).
The student will receive a standard stipend payment for the duration of the award. These payments are set at a level determined by the UKRI, currently £20,780 for the academic year 2025/26.
Interested applicants should contact Dr Mohammed Al-Khalidi ([email protected]) for an informal discussion.
To apply you will need to complete the online application form for a full time PhD in Computing & Digital Technology
Please complete the Doctoral Project Applicant Form, and include your CV and a covering letter to demonstrate how your skills and experience map to the aims and objectives of the project, the area of research and why you see this area as being of importance and interest.
Please upload these documents in the supporting documents section of the University’s Admissions Portal.
Applications closing date: 27 February 2026
Expected start date: October 2026
Please quote the reference: SciEng-MAK-2026-27-Retail AI Security
Both Home and International students can apply.
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