Financial Technology - Research

Ulster University - Belfast

Financial Technology - Research

The Fintech PhD research project falls within that Accounting, Finance and Economics Research Group (AFERG). This was established to foster an inclusive research environment that facilitates, supports and encourages research and collaboration both in a multi-discipline environment. AFERG will co-supervise with the School of Computing due to the technical requirements of the subject. This is comprised of two focused research groups in Pervasive Computing and Artificial Intelligence.

The PhD Researcher will be based in the new £363m High Tech Belfast Campus. Belfast, along with Cambridge, was named the UK's most tech centric city by Tech Nation, with 26% of all job vacancies in 2019 in tech and digital.

The term Fintech has many meanings but typically is used to describe financial technology driven innovation. It refers more casually to a subset of digital financial business models that have technology at their core. Ulster University's Fintech activities are focused on a broad range of areas stemming from the Accounting, Finance and Economics disciplines. These include:

- Establishing protocols for cheaper international remittances.

- Fintech governance and risk. New methods for developing financial products using blockchain.

- Methods for trading renewable energy and/or carbon emissions.

- Micro lending and the use of Machine learning to improve outcomes.

- Scaling the lessons from the Open Finance initiative.

- The entrepreneurial aspects of the fintech ecosystem.

- The linkages of credit ratings and overall systemic risk of the country.

- The role of Central Bank Digital Currencies.

- Traditional Machine Learning Algorithms with and Deep Learning in Financial Applications.

We are open to any research proposal within the broad remit of Fintech provided it is based on sound financial methods and relevant data. We are particularly interested in proposals based on applied problems, including those arising from digital transformation and decision-making using analytics and/or computational methods. The scope of the research can cover all manner of innovations in financial services. These can be facilitated by digital technologies, big data and AI. This includes Open Finance and Decentralised Ledgers. It is also possible to focus on the transformative effect of financial innovation on the competitive environment in banking and financial services. Applicants are required to put forward an outline description of the research problem and existing literature on the proposed topic area.

We emphasise the multi-disciplinary nature of this studentship. The research can therefore embrace techniques from Artificial Intelligence, Machine Learning, Analytics, Explanatory Statistics, and Computational Methods. The successful researcher would be expected to undertake advanced research and contribute to the growing body of knowledge in the field of Fintech. The research should be applied in nature, delivering a high-quality output that makes an impact on society and/or industry.

Entry requirements

Essential criteria
Applicants should hold, or expect to obtain, a First or Upper Second Class Honours Degree in a subject relevant to the proposed area of study.

We may also consider applications from those who hold equivalent qualifications, for example, a Lower Second Class Honours Degree plus a Master's Degree with Distinction.

In exceptional circumstances, the University may consider a portfolio of evidence from applicants who have appropriate professional experience which is equivalent to the learning outcomes of an Honours degree in lieu of academic qualifications.

- A comprehensive and articulate personal statement

- Research proposal of 2000 words detailing aims, objectives, milestones and methodology of the project

Desirable Criteria
If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

- First Class Honours (1st) Degree
- Masters at 70%

Application dates

We are delighted that you are considering Ulster University for your research studies.

Get full details on the application process and further guidance on how to apply, and what you will need to upload as part of your application (see "Application Weblink" below.

Once you have identified supervisors, discussed a research proposal and are ready to make an application, please apply using the online application system (see "Application Weblink" below.

Ulster University welcomes applications from all sections of the community and from persons with disabilities. It is University policy to assess all applications using academic criteria and on the basis of equality of opportunity and you should be assured that reasonable adjustments will be made should you require them.

More details
  • Qualification letters


  • Qualifications

    Degree - Doctoral at UK Level 8

  • Attendance type

    Full time,Daytime

  • Apply to

    Course provider