Course Overview
The program is a 12-week course designed to equip participants with the skills to assess financial performance under different market conditions. Participants will learn to integrate Scenario and Sensitivity Analysis into 3-Statement Financial Models in Excel, enabling real-time impact assessment of assumptions on financial statements.
Through hands-on exercises, case studies, and industry best practices, the course covers risk assessment, stress testing, and financial forecasting. Ideal for professionals in investment banking, FP&A, corporate finance, and portfolio management, this program ensures that participants can apply advanced financial modeling techniques to drive strategic decision-making and risk management.
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Course Content
The course is structured over 12 weeks, with each week focusing on a specific aspect of Scenario and Sensitivity Analysis in Financial Modelling. Participants will engage in a combination of theoretical learning, hands-on exercises, and real-world case studies to develop practical expertise. Weekly live sessions will provide opportunities for interactive learning, peer discussions, and direct feedback from instructors.
The detailed and comprehensive curriculum ensures that participants gain a deep understanding of scenario planning and sensitivity analysis techniques, equipping them with the skills to apply these methods effectively in their professional roles. The program allows participants to:
» Understand the fundamentals of Scenario and Sensitivity Analysis and their importance in financial modelling and decision-making.
» Develop dynamic financial models that incorporate real-time scenario testing and risk assessment.
» Learn how to link assumptions to financial statements, enabling a structured approach to evaluating financial performance under different conditions.
» Master techniques for stress testing financial models to assess business resilience and risk exposure.
» Gain expertise in conducting time-series and cross-sectional analysis to compare financial performance over time and against industry benchmarks.
» Apply advanced modelling techniques, including Monte Carlo simulations and probability-based forecasting, to enhance financial planning.
» Interpret scenario-based insights and effectively communicate findings to stakeholders using clear and actionable financial storytelling.
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Key Takeaways
By the end of the course, participants will be able to:
» Make challenging decisions and implement changes swiftly in order to mitigate near-term risk and drive long-term continuity.
» Use scenario analysis to create a much more dynamic and robust financial model.
» Provide business leaders with insights on various outcomes and assist them in planning and dealing with uncertainty.
» Incorporate a structured process for sensitivity and scenario analysis into a financial model built by someone else.
» Extract the key outputs required to assess the risk in a proposed investment or credit.
» Use sensitivity analysis to ensure that the underlying financial model responds in a commercially sensible way to changes in assumptions.
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Target Audience
The following categories can register for the programme:
» Finance professionals looking to enhance their expertise in risk assessment, forecasting, and financial decision-making.
» FP&A analysts aiming to strengthen their skills in scenario planning and sensitivity analysis for financial modelling.
» Investment bankers and equity analysts seeking advanced techniques for valuing companies under different market conditions.
» Venture capitalists and private equity professionals evaluating financial risks and investment opportunities.
» Corporate finance teams working to improve financial forecasting, stress testing, and strategic planning.
» Startup founders and entrepreneurs looking to build dynamic financial models for business growth and investor presentations.
» Consultants and financial advisors offering scenario-based financial planning and risk management services.
» Students and graduates aspiring to develop strong analytical skills in financial modelling and decision-making.
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