Program Overview
This deep-dive program enables finance, risk, and strategy professionals to proactively manage uncertainty by integrating risk-finance and scenario modeling into business planning. Participants will explore how to identify and quantify financial exposure from supply chain disruptions, regulatory transitions, and technology-driven shifts, and design mitigation frameworks to sustain liquidity and profitability. Through case studies, simulation-based exercises, and best practices from global organizations, they will learn how to translate complex risk signals into actionable financial insights, enabling more adaptive, data-driven, and forward-looking decision-making in volatile business environments.
Features
- Apply scenario modeling and stress testing techniques to assess financial exposure under disruption
- Quantify and mitigate risks from supply chain shocks, regulatory changes, and tech transitions
- Integrate risk-finance insights into capital allocation, liquidity, and resilience planning
- Design a risk-finance dashboard to support proactive, data-driven decision-making
Target audiences
- Finance Leaders
- Risk & Compliance Heads
- Supply Chain & Operations Managers
- FP&A Professionals
- Strategy Executives
Curriculum
- 6 Sections
- 34 Lessons
- 1 Day
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- The New Landscape of Financial Risk in an Age of Disruption6
- 1.1Systemic vs. idiosyncratic risk
- 1.2Volatility drivers — geopolitics, commodities, regulation, digital transformation
- 1.3Supply-chain fragility and financial contagion effects
- 1.4Risk-adjusted return on capital (RAROC) and cost of risk
- 1.5Black Swan, Grey Rhino, and “Polycrisis” frameworks
- 1.6Exercise: Identify their top risk disruptors and map potential financial impacts
- Scenario Thinking and Risk Finance Architecture7
- 2.1Strategic risk finance — linking risk management to capital allocation
- 2.2Scenario planning vs. sensitivity analysis
- 2.3Monte Carlo simulation and stress testing fundamentals
- 2.4Risk heatmaps, likelihood-impact matrices, and tail-risk analysis
- 2.5Integration with ERM, FP&A, and treasury functions
- 2.6Case Example: Toyota & Siemens — how structured scenario modeling helped navigate supply chain and energy disruptions
- 2.7Exercise: Build a simple risk scenario model — estimate financial exposure from a raw material disruption using probability-weighted outcomes
- Modeling Supply Chain Shocks & Financial Implications7
- 3.1Financial mapping of supply chain nodes and dependencies
- 3.2Working capital, liquidity, and cash flow stress under disruption
- 3.3FX volatility and supplier insolvency risks
- 3.4Hedging, diversification, and insurance as financial levers
- 3.5Business continuity metrics: time-to-recovery (TTR), time-to-survive (TTS)
- 3.6Examples: CEAT, Apple, and Unilever case studies on managing component shortages and logistics volatility
- 3.7Exercise: Model the impact of a port closure on cost-to-serve, lead time, and working capital using a data scenario sheet
- Regulatory & Technology Risk Scenarios7
- 4.1ESG disclosure and green finance regulations (BRSR Core, EU Taxonomy, TCFD)
- 4.2Financial impact of carbon pricing and compliance costs
- 4.3AI, automation, and cyber-risk implications for finance
- 4.4Data ethics, digital sovereignty, and regulatory sandboxes
- 4.5Capital at risk from regulatory shifts and digital transformation
- 4.6Case Insight: Automotive industry’s response to EV transition mandates and EU CBAM (Carbon Border Adjustment Mechanism)
- 4.7Exercise: Evaluate the financial exposure of a new regulation scenario and design mitigation levers (pricing, hedging, compliance CAPEX)
- Integrated Risk Dashboard & Decision-Making Simulation5
- 5.1Integrated risk-finance dashboards
- 5.2Data-driven early warning systems (EWS)
- 5.3Risk capital allocation and portfolio resilience scoring
- 5.4Cross-functional scenario response simulation
- 5.5Boardroom Risk Drill – Act as CFOs and respond to a multi-factor disruption combining supply shock, cyber breach, and regulation change.
- Action Planning & Roadmap for Resilient Finance2
Instructor
