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Maxim Afanasyev
JAPAC FSI Head
Google Cloud
View LinkedIn profileMember 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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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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