AI in Financial Stress Testing and Scenario Modelling

Get a practical, one-sitting blueprint for using AI to enhance financial stress testing and scenario modelling. This micro course connects the dots between traditional risk frameworks and cutting-edge AI capabilities, showing how to simulate crises, model systemic risk, and adapt portfolios dynamically. You’ll see how generative AI can create realistic but hypothetical stress events, how hybrid models blend economic theory with machine learning, and how AI expands climate risk scenario planning. Finish with a ready-to-use checklist for integrating AI into your organisation’s stress testing strategy.

You’ll learn how to:

• Apply AI to macroprudential risk modelling for system-wide insights

• Use generative AI to design hypothetical crisis simulations

• Conduct dynamic portfolio stress testing with AI agents

• Combine economic theory with machine learning in hybrid models

• Expand climate risk modelling with AI-generated scenarios

Who it’s for: Risk managers, financial analysts, regulators, data scientists, and strategy teams in banking, insurance, and asset management who want a concise, actionable guide to AI-powered stress testing.

Course Content

1. Course Overview

2. Stress Testing and Scenario Modelling

3. AI in Macroprudential Risk Modelling

4. Generative AI for Hypothetical Crisis Simulation

5. Dynamic Portfolio Stress Testing Using AI Agents

6. Hybrid Models Combining Economic Theory with Machine Learning

7. Climate Risk Modelling and AI Scenario Expansion

8. Conclusion