AI Model Governance in Finance
About the Course
The meteoric rise of AI has reshaped the financial world. Its inherent potential is tangible – but so are its risks. To maintain trust, if AI systems are to keep expanding, oversight must follow; and in the current regulatory landscape, institutions must establish these structures themselves.
This interactive course will provide participants with an overview of the current state of AI governance, from the scope of current use cases to common issues and the possible controls that might be applied to them. Participants will explore use-cases for agentic AI in finance alongside mapping out new vectors of risk it introduces. Sessions focus on the current international regulatory landscape and their commonalities, to help establish common ground and provide guidance on best practices moving forward.
Through delving into practical case studies, participants will learn the fundamentals required to establish self-defined AI governance frameworks in their organizations.
Learning Objectives
• Analyse GenAI use cases in finance in the context of governance
• Understand common pitfalls of AI use and apply controls against them
• Assess the position of agentic/semi-autonomous systems in model risk management
• Map out the international regulatory landscape of AI legislation
• Apply learned principles through a guided practical case study
Who Should Attend
Relevant departments may include, but are not limited to:
- Model Risk Management
- AI Risk & Emerging Risk Teams
- Regulatory Compliance
- Financial Crime Compliance
- Conduct Risk
- Compliance Monitoring
- Audit Managers
- Model Audit Teams
- Financial Services Legal Counsel
- Regulatory Affairs Teams
- Data Governance
- Data Management
- IT Governance
- Enterprise Architecture
- Technology Risk
- Security Governance
- Cyber Risk
- Enterprise Risk
- Operational Risk
Agenda
Tutors
Alex Daminoff
Citi
Managing director
Alex has over 25 years of experience in the financial industry, having started his career at PwC working on the Capital Markets Compliance Technology team. He has worked at JPMorgan, Bloomberg and Morgan Stanley, were he oversaw the commodities and risk analytics quantitative development team. He is currently at Citi bank as managing director and head of the counterparty credit risk quantitative development team.
Registration
November 17, 2026
Online
13:30 BST
$2,000
Enquire about:
- Agenda and registration process
- Group booking rates
- Customisation of this programme
- Season tickets options
Accreditation
This course is CPD (Continued Professional Development) accredited. One credit is awarded for every hour of learning at the event.
Enquire now
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