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Quan Yu
Senior Vice President, General Manager
Bettr Credit Services, Ant International
Ms. Quan Yu serves as the General Manager of Global Credit Services at Ant International, overseeing lending services across diverse markets and AI-driven credit technology solutions. She has been head of Credit Risk Management at Ant Group since 2016. Before joining Ant, Ms. Yu spent 14 years at Capital One (US), where she held various risk leadership roles, with the last position as Sr. Director, leading the Enterprise Risk Analytics team.
Speaking at SFF 2026
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1:30–2:00pmThu 19 NovPolicy StageHall 3, Singapore EXPOOpen
Policy Rewiring
Scaling AI: Where Financial Services is Seeing Real Returns
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Abhijeet RameshVice President, Head of Innovation & Growth, Asia PacificVisa
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Mayoran RajendraManaging Director, Head of AI Transformation OfficeSumitomo Mitsui Banking Corporation (SMBC)
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Dr. David HardoonManaging Director & Head of Advanced AI, Southeast AsiaAccentureModerator
About this session
The conversation around AI in financial services has moved beyond experimentation. The challenge is no longer identifying promising use cases—it's deploying AI at scale in ways that deliver measurable business value. From payments and banking to fintech and customer engagement, leading institutions are embedding AI into core operations to improve productivity, strengthen risk management, personalise customer experiences, and accelerate innovation. Yet while some initiatives become enterprise capabilities, many others remain trapped in pilot mode.
Bringing together leaders from across the financial services ecosystem, this panel explores where AI is creating tangible impact today, what it takes to scale successful deployments across the organisation, and the operational, cultural, and governance challenges that determine whether AI delivers lasting value. The discussion will examine how institutions are prioritising AI investments, measuring success beyond productivity gains, and building the data, operating models, and organisational capabilities needed to move from isolated use cases to enterprise-wide transformation. -
