Financial Modelling for Risk Analysis Training Course

This course equips participants with advanced financial modelling skills to assess, quantify, and manage risks in business and investment decisions. It focuses on building robust models in Excel and other tools to evaluate credit, market, operational, and liquidity risks. Through hands-on exercises and case studies, participants will learn how to apply sensitivity analysis, scenario planning, Monte Carlo simulations, and stress testing to enhance risk-informed decision-making.

Target Groups

• Risk management professionals
• Financial analysts and consultants
• Investment managers and portfolio analysts
• Corporate finance and treasury teams
• Internal auditors and compliance officers
• Students specializing in finance, risk, or quantitative analysis

Course Objectives

By the end of this course, participants will be able to:

1. Understand the role of financial modelling in risk management.
2. Build risk assessment models in Excel and related tools.
3. Apply sensitivity and scenario analysis to identify vulnerabilities.
4. Use Monte Carlo simulations for probabilistic risk estimation.
5. Conduct stress testing for financial resilience.
6. Incorporate credit, market, and operational risk factors into models.
7. Evaluate liquidity gaps and funding risks through models.
8. Link financial models to decision-making and strategy.
9. Enhance transparency and accuracy in risk reporting.
10. Apply best practices in model design, validation, and governance.

Course Modules

Module 1: Introduction to Risk Modelling

• Importance of financial models in risk management
• Risk categories and modelling approaches

Module 2: Excel Tools for Risk Analysis

• Advanced Excel functions and formulas
• Data modelling techniques

Module 3: Sensitivity & Scenario Analysis

• Identifying key risk drivers
• “What-if” analysis for decision-making

Module 4: Monte Carlo Simulations

• Probability distributions in finance
• Running simulations and interpreting results

Module 5: Stress Testing Techniques

• Designing stress scenarios
• Evaluating financial resilience

Module 6: Credit Risk Modelling

• Default probability and credit scoring
• Exposure at default (EAD) and loss given default (LGD)

Module 7: Market Risk Modelling

• Value at Risk (VaR) techniques
• Interest rate and currency risk modelling

Module 8: Liquidity Risk Models

• Cash flow forecasting under uncertainty
• Measuring funding gaps

Module 9: Operational Risk Modelling

• Scenario-based approaches
• Modelling fraud and cybersecurity risks

Module 10: Integrated Risk Modelling & Reporting

• Enterprise-wide risk modelling frameworks
• Communicating results to stakeholders