AI Model Governance in Finance
About the Course
New course
The meteoric rise of AI has reshaped the financial world. Its inherent potential is tangible, but so are its risks; as a result, institutions much establish an effective governance framework that addresses accountability and ownership
This interactive course will provide participants with an overview of the current state of AI governance, from GenAI uses cases to common challenges and their possible controls. Participants will address the difficulty of fitting stochastic LLMs into traditional MRM frameworks, deep dive into governing hallucinations and biases, and establish model inventory requirements.
By exploring recurrent themes across the global regulatory landscape including lifecycle coverage and explainability as a transparency requirement and working through an NIST AI RMF example, participants will gain the skills to establish a governance framework that incorporates best practices and focuses on trustworthy, transparent AI usage
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
$1,600
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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