Senior Lecturer in Financial Technology

Dr Azeez Oyedele is an Oracle Certified Professional Java Standard Edition 6 Programmer (OCP-JP 6) and a reviewer for

• Safer Communities
• Applied Economics Letters (Routledge Taylor& Francis Group)
• Information Technology and People
• Applied Economics Journal
• International Journal of Intelligent Systems

Qualifications

• PhD in Finance & Econometrics (with Computation)
• MSc in Quantitative Finance
• BSc (Hons) in International Finance
• Oracle Certified Professional Java Standard Edition 6 Programmer (OCP-JP 6)

Executive Programmes

• “Lean Thinking”, The Lean Six Sigma Company
• “Digital Transformation: From AI and IoT to Cloud, Blockchain, and Cybersecurity”, MIT (Massachusetts Institute of Technology) Professional Education
• “FinTech Opportunities: Taking A Strategic Approach”, Imperial College Business School Executive Education

Teaching Expertise

• Econometrics (BSc)
• Statistics (BSc)
• Financial Market: Theory & Practice (BSc)
• Corporate Finance (BSc & MSc)
• Finance for Managers (MSc & MBA)
• Financial Markets, Portfolio Management & Investment (MSc)
• Big Data and Machine Learning (BSc & MSc)
• Accounting & Finance (BSc & MSc)
• Python Programming for Finance (BSc)

Research Expertise

Azeez is interested in collaboration and to supervise prospective PhD students in the following research areas:

• Financial Econometrics
• Finance and Commodities Derivatives
• Corporate Finance; Equity Research and Valuations
• Financial Risk & Investment Portfolio Management
• AI, Big Data, IoT (Internet of Things) & Machine Learning
• FinTech, AgricTech & RegTech
• Economics cost-benefit analysis
• Forecasting-Based Financing and Carbon Emissions

Projects

Industry: AI-based Process For Automating Document Intelligence
(Research)

Project Title: Mitigating the Impact of Climate Change Using Drone-Based Machines and AI-enabled Digital Twin For Forecast-based Financing System: A PRISMA Review of Literature and Expert Mapping Exercise

Total Value: £3,228; Funding Agency: University of Bedfordshire Business & Management Research Institute

Project Title: Capacity Development in Africa: Present and Future

Total Value: £3,550; Funding Agencies: UWS Graduate School & Vice Principal; Research Office, UWS School of Engineering and Computing, UWS International Centre

Partner: Kashmir Store Scotland Limited

Academic Excellence in FinTech” as an Award of Recognition to FinTech research by Reputation Poll International during the Reputable Banks & FinTech Awards 2022, Glasgow, United Kingdom

Publications

• (2024) “Big Data Innovation and Implementation in Projects Teams: Towards a SEM Approach to Conflict Prevention”, Information Technology and People (with Owolabi, H. A., Oyedele, L. O., Alaka, H. A., Olawale, O. A., Aju, O. O., Akanbi, L. A., and Ganiyu, S. A.,)
• (2023) “Performance comparison of deep learning and boosted trees for cryptocurrency closing price prediction”, Expert Systems With Applications”, (with Ajayi, A. O., Oyedele, L. O., Bello, S. A., and Jimoh, K. O.,)
• (2018), “Forecasting OPEC oil price: a comparison of parametric stochastic models”, (with Nwafor, C. N.), European Journal of Business and Management, Vol. 10, No. 10, Pp. 49 – 60
• (2017), “Critical factors for insolvency prediction: towards a theoretical model for the construction industry” (with Alaka, H. A., Oyedele, L. O., Owolabi, H. A., Akinade, O. O., Bilal, M., and Ajayi, S. O.), International Journal of Construction Management, Vol. 17, Issue 1, Pp. 25 – 49
• (2017), “Simulation and hedging oil price with geometric Brownian motion and single-step binomial price model” (with Nwafor, C. N.), European Journal of Business and Management, Vol. 9, No. 9, Pp. 68 – 81

Contact Details

E: Azeez.Oyedele@beds.ac.uk