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Matthew See
Regional Head, Risk & Business Analytics
DBS Bank
Matthew See is Managing Director at the Development Bank of Singapore (DBS), leading the Risk & Business Analytics team within the Transformation & Data unit. He oversees the development and deployment of AI/ML solutions - including Generative AI and Agentic AI - across credit, market, liquidity, operational and technology risk domains. His team focuses on enhancing risk decisioning, early warning systems, risk policy optimisation, productivity uplift, AI governance and analytics industrialisation.
Prior to his current role, Matthew led market & liquidity risk teams in Singapore and Hong Kong at DBS, and contributed to prudential policy development at the Monetary Authority of Singapore (MAS)
Speaking At
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12:00–1:30pmMon 16 NovPublic-Private RoundtableRoundtable Room 3Open
Accountability & Liability In Agentic Systems
Financial AI Builders: Scaling Innovation in Regulated Markets
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Deep ThomasChief Data & Analytics OfficerJPMorgan Chase
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Lee Wan Sie1) Cluster Director (AI Governance & Safety), IMDA; 2) Executive Director, AI Verify Foundation; 3) Head of Policy, AI Safety InstituteIMDA, AIVF, AISI
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Mark CzajkowskiChief AI and Data Officer, AsiaManulife
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Maxim AfanasyevJAPAC FSI HeadGoogle Cloud
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Mike HsuFormer Acting Comptroller of the CurrencyMLCommons
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Dr. Rick GohResearch DirectorA*STAR IAIC
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Matthew SeeRegional Head, Risk & Business AnalyticsDBS Bank
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Alan LimDirector & Head, Financial Infrastructure & Artificial Intelligence OfficeMonetary Authority of SingaporeModerator
About this session
The next phase of AI in finance will not be defined by better models alone, but by institutions that can successfully embed AI into regulated business processes at scale. From compliance and risk management to customer servicing and agentic finance, AI is creating new opportunities to transform how financial services are designed, delivered and supervised. As institutions explore frontier AI capabilities, the challenge is no longer just building AI solutions, but operationalising them responsibly while maintaining trust, resilience and accountability.
Many financial institutions face similar challenges in developing, evaluating and deploying AI, yet often tackle them independently. Through BuildFin.ai, financial institutions, technology providers and research institutes are collaborating to develop and scale frontier AI capabilities within established regulatory and risk management frameworks. This includes the development of the MindForge AI Risk Management Toolkit, which provides practical guidance, industry case studies and implementation insights, as well as the SAFR (Safeguards for Agentic Finance at Runtime) framework, which explores safeguards for AI-enabled financial activities. This roundtable brings together members of the BuildFin.ai community and industry leaders to exchange lessons from the front lines of AI deployment and discuss how collaboration can help accelerate the responsible adoption of AI across financial services. -
