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Jeremy Hor
Executive Director, Enterprise Knowledge Department
Monetary Authority of Singapore
View LinkedIn profileJeremy Hor leads the Enterprise Knowledge Department at the Monetary Authority of Singapore (MAS), overseeing data governance, knowledge management, and statistics functions across the organisation. His responsibilities encompass the complete data and knowledge lifecycle, from acquisition and management through to advanced analytics. He also co-heads MAS' AI Office, where he drives the institution's comprehensive strategy for internal artificial intelligence adoption and supervises multiple product teams developing generative AI and data solutions.
Previously, Jeremy held leadership roles in MAS' Reserve Management Department, heading both the Asset Allocation Division and External Fund Management Division, which manage Singapore's Official Foreign Reserves. He served as the inaugural head of the Transformation Division, spearheading MAS' digitalisation strategy across the organisation.
His central banking experience spans market operations, debt management, and capital markets regulation. His unique combination of digital leadership and central banking experience provides valuable insights into the practical implementation of AI solutions in monetary policy and financial supervision.
Jeremy holds an MSc in Financial Economics from the University of Oxford and a BA in Computer Science and Management from the University of Cambridge.
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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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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9:45–11:15amTue 17 NovPublic-Private RoundtableRoundtable Room 3Invite-Only
Accountability & Liability In Agentic Systems
Multi-Agent AI in Financial Systems and the Implications for Central Banking
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Dr. Amira AbdelazizAI & FinTech Solutions Senior ManagerCentral Bank of Egypt
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Amy LeeHead of Fintech HubBank of England
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Prof. Fernando Perez-CruzSenior AdvisorBank for International Settlements
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Dr. Gary AngFounder & PrincipalQuaintitative
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Jeremy HorExecutive Director, Enterprise Knowledge DepartmentMonetary Authority of Singapore
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Lukasz KubickiHead of Technology & Innovation DivisionEuropean Central Bank
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Maxim AfanasyevJAPAC FSI HeadGoogle Cloud
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Dr. Nino LandererDeputy Director General Strategy & InnovationDeutsche Bundesbank
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Dr. Sophia KazinnikResearch ScientistStanford Digital Economy Lab (HAI)
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Miguel DíazDeputy Head, BIS Innovation Hub & Head of StrategyBank for International SettlementsModerator
About this session
Advances in AI are enabling multiple intelligent agents to collaborate, make decisions and execute complex tasks with increasing autonomy. In financial systems, these capabilities could support new approaches to economic simulation, policy analysis, supervisory monitoring and increasingly autonomous operations.
While offering significant opportunities to enhance decision-making and system efficiency, they also introduce new questions around governance, validation, accountability, systemic behaviour and financial stability. This roundtable will critically assess these emerging capabilities, associate risks and examine the implications for central banking.
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