Banking Risk Management Training Course

Participants can design the core elements of a risk appetite and limit management structure.

• Risk appetite statement links strategy, capacity, limits and escalation
• Quantitative metrics cover capital, liquidity, credit quality and market exposure
• Qualitative appetite statements address conduct, reputation, data and compliance
• Risk limits cascade from board appetite to portfolio and desk limits
• Threshold breaches trigger pre-agreed management actions and committee escalation
• Limit monitoring distinguishes appetite breaches from early-warning indicator deterioration

Participants can interpret Basel capital requirements and explain their implications for business decisions.

• Basel capital stack separates CET1, Additional Tier 1 and Tier 2
• Risk-weighted assets translate banking exposures into regulatory capital requirements
• Capital buffers include conservation, countercyclical and systemic institution buffers
• Pillar 1, Pillar 2 and Pillar 3 purposes compared
• Capital adequacy ratio calculated from eligible capital and risk-weighted assets
• Business growth assessed against capital consumption, returns and concentration limits

Participants can assess borrower creditworthiness and identify key sources of default risk.

• Five Cs of credit structure borrower assessment and lending judgement
• Financial statement analysis tests profitability, leverage, liquidity and cash conversion
• Debt service coverage ratio assesses repayment capacity under stated assumptions
• Business risk review considers sector conditions, customers, suppliers and competition
• Management quality assessed through governance, succession, integrity and execution history
• Credit memorandum records risks, mitigants, conditions and approval rationale

Participants can apply rating criteria and structure lending controls around identified borrower risks.

• Internal rating grades combine quantitative scores with qualitative credit judgement
• Probability of default estimated from financial, behavioural and sector factors
• Facility structure aligns tenor, amortisation and repayment sources with cash flows
• Collateral assessment tests valuation, enforceability, insurance and liquidation assumptions
• Financial covenants monitor leverage, coverage, liquidity and capital expenditure
• Credit approval authorities reflect exposure size, rating and exception severity

Participants can analyse portfolio concentrations and formulate actions to control aggregate credit risk.

• Portfolio segmentation groups exposures by sector, geography, product and rating
• Single-name concentration measured against capital, limits and risk appetite
• Sector concentration analysis identifies correlated defaults and common risk drivers
• Migration matrices track rating deterioration, upgrades and default experience
• Vintage analysis compares loan performance by origination period and underwriting standards
• Watchlist governance defines triggers, actions, ownership and reporting frequency

Participants can identify deteriorating exposures and connect recovery actions with impairment assessment.

• Early-warning indicators identify payment stress, covenant breaches and collateral deterioration
• Forbearance classification distinguishes viable restructuring from delayed loss recognition
• Non-performing exposure criteria apply past-due, unlikely-to-pay and probation rules
• Workout strategies compare restructuring, enforcement, sale and insolvency options
• IFRS 9 stages distinguish performing, underperforming and credit-impaired exposures
• Expected credit loss combines probability of default, loss given default and exposure

Participants can measure core market risk exposures and apply trading risk limits.

• Market risk factors include interest rates, foreign exchange, equity and commodity prices
• Value-at-risk estimates potential loss at defined confidence and holding periods
• Historical simulation, parametric and Monte Carlo value-at-risk approaches compared
• Backtesting compares value-at-risk exceptions with approved model performance thresholds
• Stress losses assess extreme but plausible market movements and basis risks
• Trading limits cover position, sensitivity, stop-loss and value-at-risk measures

Participants can assess how interest-rate movements affect banking book earnings and economic value.

• Repricing gap analysis compares rate-sensitive assets and liabilities by time bucket
• Net interest income sensitivity estimates earnings effects from rate shocks
• Duration measures price sensitivity to yield changes for fixed-income positions
• Economic value of equity captures present-value effects of interest-rate shocks
• Behavioural assumptions model non-maturity deposits, prepayments and early redemptions
• ALCO reporting connects interest-rate exposure, limits, hedging and strategic decisions

Participants can measure funding liquidity risk and prepare an actionable contingency funding response.

• Contractual maturity ladder identifies cash inflows, outflows and rollover dependencies
• Liquidity coverage ratio tests high-quality liquid assets against stressed outflows
• Net stable funding ratio assesses structural funding over one-year horizons
• Funding concentration analysis identifies dependence on large depositors and markets
• Survival horizon estimates days of liquidity under defined stress assumptions
• Contingency funding plan defines triggers, actions, owners and communication protocols

Participants can connect balance-sheet risk, transfer pricing and business-line performance decisions.

• ALM framework aligns asset growth, funding strategy, capital and liquidity constraints
• Funds transfer pricing assigns liquidity and interest-rate costs to business lines
• Matched-maturity transfer pricing separates customer margins from treasury risk decisions
• Balance-sheet composition assessed through loan, deposit, securities and wholesale funding trends
• ALCO packs combine liquidity, interest-rate, capital and profitability measures
• Hedging decisions consider effectiveness, accounting treatment, cost and residual risk

Participants can identify operational risks, assess controls and report residual risk exposures.

• Operational risk event types cover people, process, systems and external events
• Risk and control self-assessment identifies inherent risk, controls and residual risk
• Key risk indicators provide forward-looking signals for control deterioration
• Loss event data records financial impact, root cause and corrective actions
• Control design testing examines preventive, detective, manual and automated controls
• Root cause analysis distinguishes immediate errors from systemic control weaknesses

Participants can assess technology dependencies and establish risk controls for critical external providers.

• Technology risk assessment maps critical systems, data flows and service dependencies
• Cyber risk scenarios address ransomware, credential theft, denial-of-service and data exfiltration
• Third-party due diligence assesses financial strength, controls, resilience and subcontracting
• Service level agreements define availability, incident reporting, audit and exit rights
• Business impact analysis prioritises recovery requirements for critical banking services
• Scenario testing assesses disruption impacts on payments, lending and customer access

Participants can establish controls for risk models, assumptions, data lineage and independent validation.

• Model inventory classifies models by purpose, materiality, ownership and validation status
• Model risk arises from assumptions, methodology, data, implementation and misuse
• Independent validation tests conceptual soundness, outcomes analysis and implementation accuracy
• Sensitivity analysis identifies assumptions driving model outputs and decision uncertainty
• Data lineage traces risk metrics from source systems to management reports
• BCBS 239 principles guide risk data aggregation and reporting governance

Participants can design scenarios and translate stress impacts into management actions.

• Scenario design combines macroeconomic shocks, bank vulnerabilities and management assumptions
• Reverse stress testing identifies conditions that threaten business model viability
• Credit stress estimates migration, default, collateral and impairment impacts
• Liquidity stress models deposit outflows, margin calls and market funding closures
• Capital stress projects earnings, losses, risk-weighted assets and capital ratios
• Management actions tested for feasibility, timing, costs and secondary consequences

Participants can prepare the principal components of integrated capital, liquidity and recovery planning.

• ICAAP links risk profile, capital adequacy, planning horizon and governance
• ILAAP documents liquidity risk, funding strategy, buffers and stress testing
• Internal capital assessment considers risks not fully captured under Pillar 1
• Capital planning forecasts profits, dividends, growth, losses and management actions
• Recovery indicators define thresholds for capital, liquidity, profitability and asset quality
• Recovery options assess feasibility, execution time, financial impact and credibility

Participants can evaluate whether products and portfolios generate returns commensurate with their risks.

• Risk-adjusted return on capital compares expected return with economic capital
• Risk-based pricing includes funding costs, expected loss, capital and operating expenses
• Expected loss pricing separates probability of default, loss severity and exposure
• Economic capital allocates loss-absorption capacity to material risk types
• Portfolio profitability analysis identifies products, segments and relationships destroying value
• Strategic decisions tested against risk appetite, capital limits and liquidity capacity

Participants can create decision-focused risk reporting and support effective committee challenge.

• Risk dashboards combine exposures, trends, limits, forecasts and management actions
• Key risk indicators distinguish leading signals from lagging loss measures
• Risk reports explain material movements, drivers, uncertainty and decision implications
• Exception reporting documents breach severity, root cause, remediation and accountability
• Committee papers present clear recommendations, alternatives, evidence and requested decisions
• Effective challenge tests assumptions, comparatives, data quality and action feasibility

Participants can prepare evidence of risk management effectiveness for assurance and supervisory review.

• Supervisory review evidence links policies, governance, metrics, decisions and outcomes
• Internal audit scope assesses design effectiveness, operating effectiveness and issue closure
• Issue management tracks remediation owners, milestones, validation and overdue actions
• Control assurance distinguishes first-line monitoring from independent second-line challenge
• Risk culture assessment uses surveys, incidents, incentives and speaking-up evidence
• Management attestations require documented evidence, ownership and challenge before approval

Participants can build, review and present a complete risk management pack for a commercial bank.

• Risk profile integrates credit, market, liquidity, operational and strategic exposures
• Risk appetite dashboard compares current metrics against limits and early-warning thresholds
• Capital and liquidity assessment incorporates baseline forecasts and stressed outcomes
• Portfolio analysis identifies concentrations, deteriorating exposures and required management actions
• Committee paper recommends decisions, owners, deadlines and escalation requirements
• Peer review challenges assumptions, evidence quality, risk ratings and proposed actions