Dr. Gazi Arif

Dr. Gazi Arif is a highly accomplished academic and researcher with an extensive background in economics, finance, and data-driven disciplines. He holds a PhD in Theoretical Economics from the University of Bath, with research focusing on the interaction between fiscal and monetary policy within DSGE frameworks, and has completed advanced postgraduate training in mathematical and financial economics at leading UK institutions.

Dr. Arif brings a rare combination of academic depth and professional experience, having worked across academia, investment banking, and public-sector consultancy in the United Kingdom, Europe, and the United States. His professional background includes roles with global financial institutions such as Lehman Brothers and Barclays Capital, as well as advisory and training engagements with organisations including the Bank of England, the European Central Bank, ARAMCO, and the UK Government.

He currently serves as a lecturer, module leader, and dissertation supervisor at several respected institutions, including the University of Westminster, University College London, and the University of Stirling. His teaching and supervision span undergraduate, postgraduate, MBA, DBA, and doctoral levels, with subject expertise in Finance, Economics, Artificial Intelligence, Big Data, Business Analytics, Corporate Governance, and Strategic Management.

Dr. Arif is an active researcher and contributor to the academic community. His work has been published in professional outlets and is under review with leading journals in economics and finance. He is also a frequent conference presenter at international forums organised by institutions such as the BIS, IMF, ECB, and LSE, and contributes as a journal reviewer in finance and management disciplines.

At HGBS, Dr. Arif contributes his strong analytical orientation, global academic experience, and practitioner insight to ensure that teaching and research remain rigorous, relevant, and closely aligned with contemporary economic and business challenges.