Financial Modelling for Strategic Decision-Making

Financial Modelling for Strategic Decision-Making

Course schedule

Classroom Training:
DateVenueDurationPrice
8 - 12 Jun 2026London5 days£4,495
17 - 21 Aug 2026London5 days£4,495
2 - 6 Nov 2026London5 days£4,495

Please note: prices shown above are exclusive of VAT (20%).

If you don’t see your preferred course date, please contact us.

Course Overview

Delegates deepen their understanding of anti-money laundering systems and global compliance obligations. The course covers enhanced due diligence, sanctions screening, and typology analysis. Participants review evolving trends in financial crime regulation. The programme enables professionals to design and manage AML programmes that meet international standards.

Who Should Attend

Financial professionals and analysts responsible for building strategic models to guide investment or business planning. Past delegates have included:

  • Financial Analysts
  • Corporate Planners
  • Investment Managers
  • Business Modelling Consultants
  • Strategy Officers

Course Outcomes

  • Develop advanced financial models to support corporate strategy and investment.
  • Incorporate scenario analysis and sensitivity testing into forecasting models.
  • Integrate non-financial data to inform strategic business decisions.
  • Validate models for reliability and risk management purposes.
  • Present model outcomes effectively to senior executives and stakeholders.

Course Topics

Designing Strategic, Driver‑Based Models

  • Clarify decision objectives and scope with stakeholders before modelling.
  • Map value drivers to revenue, cost, and capital assumptions.
  • Balance granularity with usability to keep models fast and maintainable.
  • Build scenarios that reflect strategic choices and capacity constraints.

Scenario Planning Integrated into the Model

  • Create base, upside, and downside cases with explicit levers.
  • Implement switches for pricing, volume, and cost trajectories.
  • Quantify sensitivities and define break‑even thresholds.
  • Summarise P&L, cash, and balance‑sheet impacts for each case.

Excel Best Practices for Financial Modelling

  • Structure models with separate inputs, calculations, and outputs to improve auditability.
  • Use consistent naming conventions, dynamic ranges, and version control to reduce errors.
  • Implement checksums and reconciliation flags to validate calculations end‑to‑end.
  • Document assumptions, sources, and logic to support review, handover, and maintenance.

Ensuring Data Integrity and Model Accuracy

  • Design robust data import and transformation steps with traceable lineage.
  • Apply validation tests (type, range, and logic checks) to catch anomalies early.
  • Minimise hard‑coding; build driver‑based links that prevent circularity and drift.
  • Create error‑handling and exception logs that surface issues for timely fixes.

Communicating Financial Insights Effectively

  • Translate model outputs into clear narratives that answer the ‘so what?’.
  • Use charts, bridges, and scenarios to highlight drivers, risks, and options.
  • Present concise recommendations with quantified impacts and sensitivities.
  • Package model files and executive packs for efficient decision meetings.

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