Credit risk management: AI integration into credit risk frameworks
About the course
New course and format - 3 hours of training
Integrating AI and machine learning to credit risk frameworks is quickly becoming an industry standard. Understanding where AI adds value, when to exercise caution and how to implement appropriate controls is imperative for effective integration. This short course examines the AI model development lifecycle including design and validation, and explores the foundation required for successful deployment in credit risk frameworks. Participants will explore AI applications across the credit risk lifecycle, compare machine learning techniques with traditional modelling approaches, and address evolving regulatory standards.
By understanding the importance of transparency and controls in automated decisioning, participants will gain the tools to assess, implement, and oversee AI-driven credit risk solutions in their organisations.
We also recommend taking our other new credit risk management courses alongside this course:
Learning objectives
• Evaluate the role of artificial intelligence and machine learning across the credit risk lifecycle
• Assess transparency requirements of the development and deployment of AI-based models
• Recognise and mitigate bias and fairness risks in AI-driven credit decisioning
• Implement effective monitoring to detect model drift and ensure model performance
• Apply model risk management principles, including validation techniques
Who should attend
Relevant departments may include, but are not limited to:
• Credit Risk
• Enterprise Risk Management
• Model Risk Management
• Operational Risk
• Credit Risk Modelling
• Independent Model Validation
• Internal Audit
• Quality Assurance and Testing
• Quantitative Analytics
• Data Science and Machine Learning Teams
• Risk Transformation
• Digital Transformation and Innovation Teams
Agenda
Tutors
Zsuzsanna Tajti
Risk and regulatory expert
Zsuzsanna has over 20 years of experience spanning financial risk and regulatory management, specifically credit risk, data analytics, regulatory transformation, IRB and IFRS9 models, ESG and regulatory programs. She has worked as large and small organisations including OTP Bank as a senior market risk analyst, KBC Bank as a senior risk manager, KPMG as a product owner/IRB modelling workstream lead and NIBC Bank as IRRBB/stress-testing/ICAAP/ILAAP audit professional.
Registration
October 13, 2026
Online
13:30 BST
$2000
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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