Financial Stress Testing Methodology for Risk Managers Training Course

Course overview

Risk managers are expected to show how capital, liquidity, earnings, credit quality and market exposures would respond when conditions deteriorate sharply—not merely report historical volatility or regulatory ratios. That requires a defensible stress-testing methodology: clear scenario narratives, traceable transmission channels, credible assumptions, model controls, management overlays and reporting that supports timely decisions. This course addresses the practical gap between running isolated sensitivity analyses and operating a repeatable stress-testing framework that can withstand challenge from senior management, internal audit and regulators.

Participants learn to design and govern stress tests for banks, insurers, asset managers and corporate treasury functions. The programme covers scenario design, reverse stress testing, sensitivity analysis, portfolio segmentation, PD/LGD/EAD stress methodologies, market and liquidity shocks, balance-sheet projection, capital and liquidity impact assessment, and aggregation across risk types. Participants practise documenting assumptions, selecting severity levels, distinguishing model outputs from expert judgement, validating results, and translating findings into risk appetite, contingency actions and management information.

Delivery combines instructor-led methodology sessions with spreadsheet-based modelling workshops, case discussions and challenge-panel exercises. Working from a realistic financial institution case, participants build a stress-testing pack containing scenario narratives, risk-driver mappings, calculation logic, governance controls, result dashboards and proposed management actions. They leave with a structured methodology template and an application plan that can be adapted to their own portfolio, legal entity or enterprise risk framework.

The course is designed for intermediate risk professionals who already work with financial risk data and need to improve the design, credibility or governance of stress-testing programmes.

Course objectives

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

• Design multi-factor adverse and severe scenarios using macroeconomic, market and idiosyncratic risk drivers
• Map scenario variables to credit, market, liquidity, earnings and capital transmission channels
• Build sensitivity and scenario calculations for PD, LGD, EAD, valuation, cash-flow and funding impacts
• Perform reverse stress testing to identify conditions that breach capital, liquidity or risk-appetite thresholds
• Aggregate cross-risk stress results into a documented capital, liquidity and earnings impact assessment
• Apply management overlays, expert judgement and assumption governance without obscuring model evidence
• Validate stress-test outputs through reasonableness checks, benchmarking, sensitivity analysis and challenge
• Produce a board-ready stress-testing pack with scenarios, results, limitations and management actions

Benefits of attending

Target competencies

Who should attend

• Enterprise Risk Managers — who must coordinate firm-wide scenario design and aggregate risk impacts
• Credit Risk Managers — who need to translate economic stress into portfolio deterioration and loss projections
• Market Risk Managers — who assess valuation, spread, rate, FX and volatility shocks
• Liquidity and Treasury Risk Managers — who model funding outflows, collateral calls and liquidity-buffer resilience
• ICAAP, ILAAP and Capital Planning Specialists — who must evidence stress-test methodology for internal and regulatory review
• Risk Analysts and Model Risk Professionals — who challenge assumptions, calculations, documentation and model use

Requirements and prerequisites

Participants should have practical familiarity with financial risk concepts, including credit risk, market risk, liquidity risk, capital adequacy and basic financial statements. They should be able to interpret portfolio data, probability of default, loss given default, exposure at default, cash-flow forecasts and common risk metrics. Working knowledge of Microsoft Excel, including formulas, pivot tables and charts, is assumed; Python examples are explained and do not require prior coding expertise. Experience with regulatory capital or ICAAP/ILAAP is useful but not essential. This is not a course in introductory finance, econometrics or model programming.

Training methodology

The instructor introduces each method using a financial institution case and then demonstrates the calculation and documentation approach in Microsoft Excel. Participants work in small groups to define scenarios, map risk drivers, estimate portfolio and liquidity effects, and challenge assumptions through structured review questions. Short case discussions examine common failures such as implausible severity, double counting, opaque overlays and results that do not lead to action. The final workshop consolidates each participant’s methodology choices into a workplace application plan and stress-testing pack outline.

Course outline

Day 1: Stress-testing framework and scenario architecture

• Purpose of stress testing in risk appetite, capital planning and recovery planning
• Enterprise-wide versus risk-specific stress-testing frameworks
• Historical, hypothetical, sensitivity and reverse stress-testing methods
• Scenario narrative construction and severity calibration
• Macroeconomic variables, market factors and idiosyncratic shocks
• Risk-driver maps and transmission-channel identification
• Stress-testing governance, policy requirements and model inventory

Workshop: Participants create a scenario narrative and risk-driver map for a mid-sized financial institution facing recession, funding stress and market dislocation.

Day 2: Credit and market risk stress methodologies

• Portfolio segmentation for retail, corporate, sovereign and financial exposures
• PD stress approaches using macroeconomic satellite relationships
• LGD and collateral-value stress under declining asset prices
• EAD, credit conversion factor and drawdown assumptions
• Expected credit loss and impairment projection logic
• Interest-rate, credit-spread, FX and equity-price shock design
• Valuation impacts, basis risk and concentration effects

Workshop: Participants build an Excel-based credit and market stress calculation for a segmented portfolio and document the key assumptions.

Day 3: Liquidity, earnings and balance-sheet stress

• Liquidity stress scenarios and survival-horizon analysis
• Deposit runoff, wholesale funding withdrawal and secured funding haircuts
• Collateral calls, margin requirements and contingent liquidity demands
• Liquidity buffer usability and asset monetisation assumptions
• Net interest income and earnings-at-risk projections
• Dynamic versus static balance-sheet assumptions
• Interaction between credit losses, funding costs and capital generation

Workshop: Participants model a 90-day liquidity and earnings stress case, producing a cash-flow gap profile and management trigger summary.

Day 4: Capital adequacy, reverse stress testing and validation

• Capital resource and capital requirement projection under stress
• Risk-weighted asset migration and credit-risk capital effects
• Leverage ratio, liquidity ratio and risk-appetite threshold testing
• Reverse stress-testing design and failure-point definition
• Cross-risk aggregation and double-counting controls
• Sensitivity analysis, benchmarking and output reasonableness checks
• Model limitations, expert judgement and management overlay governance

Workshop: Participants conduct a reverse stress test to identify the scenario conditions that breach defined capital and liquidity thresholds.

Day 5: Governance, reporting and implementation

• Stress-testing policy, methodology document and evidence standards
• Roles of first line, second line, finance, treasury and model risk
• Scenario approval, independent challenge and escalation workflows
• Data lineage, calculation traceability and change-control records
• Board and risk committee stress-test reporting design
• Linking results to limits, contingency funding and recovery actions
• Annual stress-testing calendar and implementation roadmap

Workshop: Participants assemble and present a board-ready stress-testing pack with methodology, results, limitations, action triggers and a 90-day implementation plan.

Tools & standards covered

Microsoft Excel, Python, Basel Committee Principles for Sound Stress Testing Practices and Supervision, EBA Guidelines on Institution-Wide Stress Testing

A typical training day

Live online deliveries follow the same structure in the East Africa Time zone, with shorter screen blocks and longer breaks.

What the fee includes

How you can take this course

Certification

Participants who complete the full five days receive the Skillset Development Certificate of Completion, stating the course title, course code, dates and delivery format — suitable for professional-development records and employer reimbursement.

Frequently asked questions