Advanced Financial Modelling & Scenario Analysis Training Course

This advanced training equips finance professionals with the technical and analytical expertise required to build dynamic, robust, and flexible financial models for complex decision-making. The course emphasizes advanced Excel techniques, scenario planning, sensitivity analysis, and the integration of real-world business assumptions into models. Participants will learn how to forecast performance, evaluate risks, and simulate outcomes under different economic and business conditions. By the end of the program, attendees will be able to design professional-grade models to support strategic decisions in investment, budgeting, and corporate finance.

Target Groups

• Financial analysts and corporate finance professionals.
• Investment bankers and equity research analysts.
• CFOs, finance managers, and FP&A specialists.
• Consultants and advisors in finance and strategy.
• Professionals preparing for leadership roles in finance.
• Graduate students specializing in finance or accounting.

Course Objectives

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

1. Build advanced financial models from scratch using best practices.
2. Incorporate assumptions, drivers, and dynamic inputs into models.
3. Apply scenario and sensitivity analysis for decision-making.
4. Evaluate capital budgeting and investment projects using models.
5. Apply Monte Carlo simulation and risk modeling techniques.
6. Analyze mergers, acquisitions, and restructuring scenarios.
7. Link models to valuation techniques (DCF, multiples).
8. Integrate dashboards and visualization for management reporting.
9. Ensure accuracy and transparency through error-checking methods.
10. Present models and scenario results effectively to stakeholders.

Course Modules

Module 1: Foundations of Advanced Financial Modelling

• Best practices in model design and structure.
• Model integrity, transparency, and auditability.
• Key Excel functions and advanced formulas.

Module 2: Building Dynamic Assumption-Driven Models

• Defining inputs, drivers, and outputs.
• Linking financial statements (IS, BS, CF).
• Circular references and error handling.

Module 3: Forecasting & Business Drivers

• Revenue forecasting techniques.
• Cost modeling and operating leverage.
• Working capital and cash flow modeling.

Module 4: Scenario Analysis Techniques

• Developing base, upside, and downside cases.
• Stress testing assumptions.
• Creating scenario manager tools in Excel.

Module 5: Sensitivity Analysis for Decision Support

• One-variable and two-variable data tables.
• Tornado diagrams and spider charts.
• Evaluating critical assumptions.

Module 6: Risk Modelling & Monte Carlo Simulation

• Probability distributions and random variables.
• Simulation using Excel add-ins.
• Risk-adjusted decision-making.

Module 7: Valuation & Investment Modelling

• Discounted cash flow (DCF) modeling.
• LBO and merger models.
• Real options and project evaluation.

Module 8: Advanced Excel & Automation Tools

• Macros and VBA basics for finance.
• Dynamic charts and dashboards.
• Linking external data sources (Bloomberg, APIs).

Module 9: Presentation & Visualization of Results

• Building interactive dashboards.
• Summarizing key outputs for executives.
• Storytelling with data and financial models.

Module 10: Case Studies & Capstone Project

• End-to-end modeling of a business case.
• Scenario planning for an investment or M&A deal.
• Group project: building and presenting a robust financial model with scenario analysis.