Risk Management Training Course

Participants can define risk appetite and assign governance responsibilities for risk decisions.

• Board-approved risk appetite statements translated into measurable operating limits
• Appetite, tolerance, capacity and limits differentiated using financial examples
• Risk committees, mandates and escalation thresholds designed for accountability
• Key risk indicators selected with thresholds, owners and reporting frequency
• Delegated authorities aligned with credit, market and liquidity exposures
• Risk culture indicators assessed through conduct, challenge and incident data

Participants can establish the context, criteria and data requirements for a risk assessment.

• Strategic objectives converted into risk assessment criteria and decision boundaries
• Internal and external context assessed using PESTLE and stakeholder analysis
• Assumptions, constraints and interdependencies recorded in a risk assessment charter
• Risk criteria calibrated for likelihood, impact, velocity and persistence
• Materiality thresholds set for financial loss, service disruption and compliance
• Data sources evaluated for completeness, timeliness, lineage and bias

Participants can identify material risks and document them in a usable risk register.

• Facilitated risk workshops use prompts, process maps and structured interviews
• Bow-tie analysis identifies threats, preventive controls and consequence barriers
• Risk and control self-assessment captures process-level exposures and controls
• Incident, loss and near-miss data reveal recurring risk patterns
• Emerging risks sourced from horizon scanning, scenarios and expert judgment
• Risk register entries specify cause, event, impact and accountable owner

Participants can assess inherent and residual risk using calibrated ratings and control evidence.

• Likelihood-impact matrices calibrated to avoid false precision and score inflation
• Inherent and residual risk ratings calculated after control effectiveness assessment
• Control design and operating effectiveness tested using evidence-based criteria
• Risk velocity, interconnectedness and reversibility added to prioritisation decisions
• Heat maps interpreted with limitations, aggregation effects and risk correlations
• Risk prioritisation combines ratings, appetite breaches and management judgment

Participants can apply selected quantitative methods to estimate and test risk exposure.

• Probability distributions selected for loss frequency and severity modelling
• Expected loss, unexpected loss and value-at-risk calculated from scenarios
• Monte Carlo simulation estimates aggregated losses under correlated assumptions
• Sensitivity analysis tests key drivers, parameter uncertainty and model risk
• Stress testing applies severe but plausible financial and operational shocks
• Model assumptions, validation checks and limitations documented for review

Participants can identify and measure major financial risk exposures affecting performance and capital.

• Financial statements analysed for earnings volatility, covenant pressure and concentration
• Foreign exchange exposure measured through transaction, translation and economic positions
• Interest rate repricing gaps and duration measure rate sensitivity
• Commodity price exposures mapped to procurement commitments and revenue contracts
• Counterparty concentrations assessed by obligor, sector, geography and collateral
• Risk-adjusted return measures inform pricing, limits and capital allocation

Participants can assess market risk and establish appropriate limits, testing and valuation controls.

• Market risk factors mapped to portfolios, benchmarks and valuation models
• Historical simulation, parametric and Monte Carlo VaR compared critically
• Backtesting compares daily profit and loss against VaR estimates
• Stressed VaR and scenario analysis expose tail loss vulnerabilities
• Greeks quantify option sensitivity to price, volatility, time and rates
• Position limits, stop-loss limits and independent valuation controls established

Participants can assess borrower, counterparty and portfolio credit exposures using structured methods.

• Credit risk assessment integrates financial ratios, cash flows and qualitative factors
• Probability of default, loss given default and exposure estimated
• Five Cs of credit structure borrower assessment and approval rationale
• Credit scoring models tested for discrimination, calibration and override governance
• Collateral valuation, covenants and guarantees reduce loss severity
• Expected credit loss staging linked to IFRS 9 requirements

Participants can assess liquidity pressures and prepare practical contingency funding responses.

• Cash conversion cycle analysis identifies working-capital funding pressures
• Thirteen-week rolling cash forecasts model receipts, payroll and supplier payments
• Liquidity gaps measured by maturity buckets, committed facilities and contingency sources
• Liquidity coverage ratio and net stable funding ratio interpreted
• Contingency funding plans define triggers, actions, owners and communications
• Bank covenant headroom monitored under base case and stress scenarios

Participants can identify operational failure points and define continuity-focused risk controls.

• Operational risk taxonomy covers people, process, systems and external events
• Process mapping locates handoffs, failure points and manual control dependencies
• Loss event data classified by Basel operational risk event types
• Key control indicators distinguish preventive, detective and corrective performance
• Business continuity impact analysis sets recovery time and recovery point objectives
• Root cause analysis uses five whys and fishbone diagrams

Participants can assess fraud, cyber and supplier risks and define relevant control requirements.

• Fraud risk assessments map incentives, opportunities and rationalisation indicators
• Red flags identify payment fraud, procurement collusion and expense abuse
• Segregation of duties matrices expose incompatible access and approval rights
• Cyber risk scenarios assess confidentiality, integrity, availability and recovery impacts
• Third-party due diligence evaluates financial stability, sanctions and control evidence
• Vendor contracts assign security, continuity, audit and incident notification obligations

Participants can select treatments and convert risk decisions into controlled action plans.

• Risk treatment options compare avoidance, reduction, transfer and acceptance
• Control libraries link objectives, risks, activities, evidence and owners
• Insurance programmes evaluated for exclusions, deductibles, limits and claims procedures
• Derivatives hedging separates economic exposure, hedge effectiveness and accounting treatment
• Cost-benefit analysis prioritises treatments using residual exposure and feasibility
• Action plans specify milestones, resources, dependencies and closure evidence

Participants can monitor risks, test controls and track remediation to verified closure.

• Key risk indicators designed with leading, lagging and threshold measures
• Control testing plans define population, samples, evidence and exceptions
• Risk registers updated through incidents, audits, changes and management review
• Risk acceptance decisions recorded with expiry dates and approval authorities
• Issue management tracks remediation ownership, overdue actions and validation
• Continuous monitoring uses dashboards, reconciliations and exception reporting

Participants can prepare concise risk reporting that supports management and board decisions.

• Board risk reports connect appetite, exposures, trends and decisions required
• Risk dashboards use concise metrics, thresholds, commentary and forward indicators
• Risk aggregation addresses common causes, concentrations and correlation effects
• Escalation protocols distinguish breaches, near breaches and emerging concerns
• Management information reconciles risk data to finance and operational records
• Risk narratives explain uncertainty, assumptions and actions without obscuring evidence

Participants can build scenarios that test risk resilience and recovery decisions.

• Scenario design combines drivers, transmission paths, impacts and management responses
• Reverse stress testing identifies conditions that make business models unviable
• Interconnected risks model contagion between liquidity, credit, operations and reputation
• Scenario workshops challenge assumptions using alternative futures and signposts
• Recovery plans sequence stabilisation actions, decision rights and communications
• Crisis simulations test escalation, information flows and response coordination

Participants can integrate risk management into planning, assurance, change and resource decisions.

• Risk-based planning aligns assurance coverage with material exposures and control gaps
• Capital allocation considers risk-adjusted returns, buffers and concentration limits
• Project risk registers integrate scope, schedule, cost and supplier exposures
• Change risk assessments address migration, adoption, controls and benefit realisation
• Implementation roadmaps sequence governance, data, controls and reporting improvements
• Risk maturity assessments benchmark current practices against target-state criteria

Participants can build, review and present a complete risk management plan for a defined business case.

• Capstone brief defines objectives, scope, stakeholders and decision context
• Risk register built with causes, events, impacts, ratings and owners
• Quantitative scenarios estimate financial exposure, liquidity strain and control failures
• Treatment plan assigns controls, indicators, actions, deadlines and accountabilities
• Board report presents appetite position, top risks and escalation requests
• Peer review challenges assumptions, evidence, scoring consistency and proposed responses
• Final presentation defends the risk management plan before a review panel