Jeremy 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.
Roundtable Room 3, Ground Floor
Open
AI adoption by central banks, the financial institutions they supervise, and in financial systems and infrastructure is growing, even as AI’s capabilities and the AI risk landscape is rapidly evolving.
Increasingly powerful frontier models can enhance efficiency and decision making, whilst posing cybersecurity and financial system resilience risks as they can autonomously identify and exploit software vulnerabilities, raising significant implications for critical financial infrastructure such as national payment systems and the wider financial industry.
This roundtable discusses how central banks can prepare and respond to the next and future generations of AI capabilities and risks, ensuring cybersecurity, resilience and the trusted adoption of AI. The session will highlight best practices, challenges, lessons learnt and opportunities for cross-border collaboration in implementing and scaling AI safely and securely.