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Maxim Afanasyev
JAPAC FSI Head
Google Cloud
Member of Global Strategic Industries team with responsibility for FSI in JAPAC. Provides Product Engineering, Research and Field with insights about FSI needs to ensure Google Cloud brings right AI capabilities to industry. Advisor to leaders at major FIs with insights on strategic transformations for solving business goals with Agentic AI and other techs.
Maxim holds 20+ years experience across AI and Financial Markets. Before Google, worked as Managing Director in charge of Data and AI transformation globally at Standard Chartered Bank. Before moving to Asia, Maxim worked at McKinsey where he was responsible for AI Transformation Practice. Before consulting, he held various leadership roles in capital markets such as Chief Investments Officer of a large asset manager and various senior roles in Derivatives Trading at RBS.
Maxim holds PhD in Operations, Information and Technology from Stanford Graduate School of Business, where his research focused on AI Applied in Business.
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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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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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. -
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9:45–11:15amTue 17 NovPublic-Private RoundtableRoundtable Room 4Open
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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Randall DuranSenior LecturerSingapore Management University
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Sonja DavidovicSenior Digital Expert on Transformative TechnologyInternational Monetary Fund
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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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