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Norbert Izer
Executive Director for Financial Markets and Digitalization
MNB (Central Bank of Hungary)
Norbert Izer
Executive Director for Financial Markets and Digitalization
Magyar Nemzeti Bank (central bank of Hungary)
Norbert Izer is the Executive Director for Financial Markets and Digitalization at the Magyar Nemzeti Bank (Central Bank of Hungary), a position he has held since March 2025. In this role, he oversees the supervision of financial market institutions and promotes financial innovation, digitalization and the responsible adoption of emerging technologies across the financial sector. He plays a leading role in integrating artificial intelligence into the central bank’s operations and institutional processes.
Previously, from 2018 to 2024, he served as Secretary of State for Tax Affairs at the Ministry of Finance, following his role as Deputy Secretary of State for Tax Regulation and Accounting at the Ministry for National Economy between 2016 and 2018.
Before joining the public sector, he worked at PwC Hungary from 2004 to 2016, specializing in tax consulting. He began his professional career in 2003 at the Budapest Stock Exchange, where he was involved in the analysis of annual reports, and at Raiffeisen Bank, working in credit management administration.
He graduated from the Budapest University of Economics and Public Administration (now Corvinus University of Budapest) with a degree in Business Administration, specializing in accounting. He also completed international taxation training at Leiden University and the ACCA Diploma in International Financial Reporting (DipIFR) programme.
Speaking At
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9:45–11:15amMon 16 NovPublic-Private RoundtableRoundtable Room 2Invite-Only
Accountability & Liability In Agentic Systems
Build, Buy, or Own: Strategies for Responsible AI Adoption in Finance
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Amith RajanExecutive Vice President, Head of Wholesale Digital Banking, Mashreq & Chief Executive Officer, NeoVenturesMashreq NeoVentures
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Jeremy HorExecutive Director, Enterprise Knowledge DepartmentMonetary Authority of Singapore
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Louise JohnstonDigital Assets & Blockchain, Global PolicyMastercard
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Norbert IzerExecutive Director for Financial Markets and DigitalizationMNB (Central Bank of Hungary)
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Dr. Zhao JingyuanHead, Group Data OfficeOCBC
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Prof. Heng WangProfessorSingapore Management UniversityModerator
About this session
Financial institutions are moving well beyond experimentation with AI, deploying it across credit decisioning, fraud detection, and everyday employee workflows at genuine scale. But how they get there differs sharply: some are building their own foundation models on proprietary data to avoid depending on external providers with their most sensitive information; others adopt commercial AI tools but wrap them in anonymization and strict governance before sensitive data reaches them; and some capital allocators are treating AI infrastructure itself — compute, data centres, foundation models — as a strategic asset worth direct ownership.
Regulation is catching up fast and unevenly, with major regimes now treating data location and third-party AI access as a risk to be supervised, not just a technology choice. Given the different AI strategies already in motion, what would it actually take to make them interoperable, auditable, and defensible across jurisdictions?
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