Paul Dongha is renowned for his visionary stance in the domain of AI and technology, particularly within the financial services industry. As the inaugural Head of Data & AI Ethics at Lloyds Banking Group—one of the UK's largest banks—Paul has been instrumental in developing and implementing AI systems and frameworks. Educated at the University of Manchester, Paul holds a BSc in Computer Science, an MSc in Advanced Computer System Design, and a PhD in Artificial Intelligence. His career has been marked by significant roles requiring the integration of big data into high-performance systems.
Paul's professional journey in banking commenced as Head of Credit Risk Systems at ABN AMRO Bank, followed by a pivotal role as Programme Manager of Risk, Banking, Treasury & Trade Finance at Standard Bank. His extensive work in shaping international AI policies and principles positions him as a leading authority in the field. Paul's expertise makes him a sought-after speaker for events focusing on AI, technology, strategy, and business, where he imparts his insights into the evolving technological landscape.
Paul's tenure at HSBC included serving as Head of Derivatives Product Control and later as IT Project Manager for the Finance Transformation Programme, where he led the establishment of a centralised Finance Accounting Rules platform. He further enhanced his portfolio as Climate Risk IT Program Manager at HSBC, culminating his prior experiences as IT Director at both Commerzbank and Credit Suisse. In 2021, he tackled crucial issues such as bias and discrimination in AI systems as AI Ethics & Principal Researcher at Fujitsu Research of Europe.
A trusted advisor to C-suite executives on IT program execution, Paul combines technological proficiency with innate leadership qualities. His commitment to advancing responsible AI practices in the UK and his influential role in setting global standards for ethical AI are testament to his leadership and vision in the field. Paul Dongha actively participates in international forums and policy discussions, greatly contributing to the discourse on ethical AI. He is now available to share his wealth of knowledge at a variety of events, helping to enhance audience understanding of responsible and ethical AI practices.
