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FinTech & Analytics at James Hope University Business School

James Hope University Business School
April 30, 2026
Full-time
On-site
Ideal candidates will have strong backgrounds in:


Financial Technology (FinTech) and Digital Banking
Data Analytics or Data Science, AI, and Machine Learning in Finance
Blockchain and Digital Assets
Quantitative Methods and Financial Modelling
Big Data Applications in Business and Economics


ROLE EXPECTATIONS

Successful candidates will be expected to:


Deliver high-impact teaching at postgraduate and executive levels
Contribute to curriculum development and programme innovation
Engage in collaborative research and publications in top-tier journals
Mentor students and junior faculty
Participate in industry engagement, policy dialogue, and thought leadership


ELIGIBILITY CRITERIA


A PhD in a relevant discipline from a reputable institution
Minimum of Senior Lecturer / Associate Professor / Professor rank (or equivalent industry experience for practitioners)
Strong research profile with publications in reputable journals (ABS-ranked journals preferred)
Demonstrated teaching excellence at the postgraduate level
International exposure and academic collaboration experience are highly desirable