Bank Risk and Insurance Management Training Course

Duration 10 days 20 modules · 65 contact hours
Level Intermediate Certificate on completion
Who attends Bank Risk Managers, Insurance Risk Managers and others
Fee from USD 2,200 KSh 190,000 for Kenyan organisations
Where 52 cities + online See dates by city
Next start 9 Nov 2026 Course code SD-BI-059

Before you join: Participants should have working experience in banking, insurance, treasury, finance, credit, audit, compliance or risk management.

Dates & prices

Two start dates a month in every city, and live online on weekdays or weekends. Fees are per participant; classroom fees include tuition, materials, lunch and refreshments, and the certificate.

Suggest a date or city

Showing the next six months. Later dates, other cities and private deliveries for your team are available on request.

Course overview

Banks face connected exposures: credit deterioration can reduce capital, interest-rate movements can weaken earnings and economic value, liquidity pressure can accelerate funding costs, and operational failures can create conduct, cyber and insurance losses. Insurance portfolios add underwriting, reserving, reinsurance and investment risks that require their own controls while still affecting group capital, liquidity and reputation. Risk teams need a common way to identify material exposures, set limits, test severe conditions and report decisions to senior management and boards.

This course develops practical capability across bank risk governance, Basel capital requirements, credit risk, market risk, liquidity, interest-rate risk in the banking book, operational risk, financial crime controls and stress testing. Participants also examine insurance portfolio strategy, underwriting and pricing, claims reserving, IFRS 17, reinsurance structures, insurance asset-liability management and bancassurance product risk. The course connects risk appetite, capital planning, portfolio performance and risk transfer so participants can make defensible management recommendations.

Instruction combines focused briefings with banking and insurance cases, group analysis, scenario simulations and structured application planning. Participants use realistic data to build risk registers, scorecards, capital and liquidity views, stress-test assumptions and insurance portfolio reviews. They leave with an integrated bank risk and insurance portfolio management pack that can be adapted for their institution, business line or regulated subsidiary.

The course is suited to risk, finance, treasury, credit, insurance, audit and compliance professionals who already understand core financial services operations and now need stronger cross-risk management capability.

What you will be able to do

  • Construct a risk taxonomy and material-risk register for a bank or insurance portfolio
  • Set risk appetite statements, limits, key risk indicators and escalation thresholds
  • Analyse credit, market, liquidity and operational risk using recognised measurement methods
  • Evaluate capital adequacy using Basel III ratios, risk-weighted assets and ICAAP evidence
  • Build stress-testing scenarios linking macroeconomic shocks, losses, capital and liquidity
  • Assess insurance underwriting, reserving, reinsurance and asset-liability management exposures
  • Prepare risk reports that explain portfolio trends, breaches, concentrations and management actions
  • Present an integrated bank risk and insurance portfolio management plan to senior stakeholders

Benefits of attending

For you

  • Produce board-ready risk appetite, limit and escalation documentation
  • Interpret Basel capital and liquidity metrics with greater confidence
  • Assess insurance portfolio performance beyond premium growth and claims ratios
  • Contribute credible challenge during ICAAP, ILAAP and stress-testing discussions
  • Build a reusable integrated risk management portfolio for workplace application

For your organisation

  • Clearer alignment between risk appetite, business plans, capital and liquidity
  • Earlier identification of concentrated credit, funding and underwriting exposures
  • More consistent risk reporting across banking and insurance business lines
  • Better evidence for supervisory reviews, internal audit and board oversight
  • Improved decisions on reinsurance, portfolio limits and contingency actions

Course modules

20 modules over 10 days

Participants can define risk ownership, governance structures and material-risk categories for a financial institution.

  • Risk taxonomy linking credit, market, liquidity, operational and insurance exposures
  • Three-lines model assigning board, management, assurance and business ownership
  • Board risk committee mandates, reporting cycles and challenge responsibilities
  • ISO 31000 principles applied to financial institution risk governance
  • Materiality assessment using impact, likelihood, velocity and control effectiveness
  • Risk culture indicators covering incentives, conduct, challenge and escalation

Participants can assess how balance-sheet composition affects regulatory capital and financial resilience.

  • Balance-sheet mapping of assets, liabilities, off-balance-sheet commitments and contingent exposures
  • Basel III capital stack: CET1, AT1, Tier 2 and buffers
  • Risk-weighted assets calculated using standardised and internal-ratings-based approaches
  • Capital planning linking earnings, dividends, growth assumptions and management buffers
  • ICAAP evidence connecting material risks, capital adequacy and governance
  • Capital ratios interpreted against triggers, peer ranges and supervisory expectations

Participants can design a risk appetite framework with measurable limits, indicators and escalation actions.

  • Risk appetite statements translated into quantitative limits and qualitative boundaries
  • Limit hierarchies from board appetite through business-unit operating thresholds
  • Key risk indicators distinguished from key performance and control indicators
  • Threshold calibration using historical losses, capacity, volatility and strategic plans
  • Breach escalation protocols specifying owners, timelines, decisions and remediation
  • Risk appetite dashboards showing trend, limit usage, concentration and exceptions

Participants can assess borrower, sector and portfolio credit exposures using core credit risk measures.

  • Credit risk lifecycle from origination, approval and monitoring through recovery
  • Probability of default, loss given default and exposure at default
  • Rating migration matrices used to monitor deterioration and default trends
  • Concentration analysis by borrower, sector, geography, product and collateral
  • Credit risk mitigation through collateral, guarantees, covenants and netting
  • Watchlist governance linking early-warning indicators, actions and accountable owners

Participants can review expected credit loss assumptions and explain their effect on financial results.

  • IFRS 9 staging criteria for performing, underperforming and credit-impaired exposures
  • Twelve-month and lifetime expected credit loss measurement distinctions
  • Forward-looking macroeconomic scenarios incorporated into impairment estimates
  • Management overlays governed through evidence, approval and periodic reassessment
  • Back-testing expected losses against defaults, recoveries and realised write-offs
  • Impairment reporting linking stage migration, provisions, drivers and uncertainty

Participants can measure market risk exposures and evaluate trading portfolio control arrangements.

  • Trading-book positions classified by instrument, currency, tenor and risk factor
  • Value at Risk calculated using historical simulation assumptions
  • Expected shortfall compared with Value at Risk for tail losses
  • Sensitivity measures covering duration, delta, vega, basis and foreign exchange
  • Back-testing compares model estimates with daily profit and loss
  • Market risk limits covering position size, stop-loss, sensitivity and concentration

Participants can assess liquidity resilience, funding concentration and contingency funding actions.

  • Contractual maturity ladder separating inflows, outflows and behavioural assumptions
  • Liquidity Coverage Ratio components: high-quality liquid assets and net outflows
  • Net Stable Funding Ratio assessed against asset tenor and funding stability
  • Funding concentration measured by depositor, counterparty, currency and maturity
  • Survival horizon analysis under deposit outflow and market closure scenarios
  • Contingency funding plans specifying triggers, actions, sources and communications

Participants can assess interest-rate risk in the banking book using earnings and economic value measures.

  • Repricing gap analysis across asset, liability and off-balance-sheet cash flows
  • Net interest income sensitivity under parallel and non-parallel rate shocks
  • Economic value of equity measured through discounted cash-flow changes
  • Behavioural assumptions for non-maturity deposits, prepayments and early withdrawals
  • Funds transfer pricing allocating interest-rate and liquidity costs
  • ALCO reporting connecting interest-rate exposures, limits, assumptions and actions

Participants can identify operational risk scenarios and assess controls for technology and cyber events.

  • Risk and control self-assessment documenting process failures and mitigations
  • Operational loss event taxonomy covering fraud, systems, people and process
  • Scenario analysis estimating severe operational and cyber loss exposures
  • Business continuity plans addressing critical services, dependencies and recovery objectives
  • Cyber risk indicators covering privileged access, patching, incidents and third parties
  • Control testing evidence linking design adequacy, operating effectiveness and remediation

Participants can evaluate non-financial risk controls for conduct, financial crime and external dependencies.

  • Conduct risk assessment covering product design, sales incentives and customer outcomes
  • Anti-money-laundering controls using customer due diligence and transaction monitoring
  • Sanctions screening governance for customers, payments, trade and counterparties
  • Third-party risk assessments covering criticality, data access, resilience and exit
  • Fraud risk scenarios spanning account takeover, payment diversion and claims fraud
  • Issue management tracks root causes, remediation milestones and closure evidence

Participants can design stress tests that connect severe scenarios to capital, earnings and liquidity outcomes.

  • Reverse stress testing identifies scenarios that threaten business viability
  • Macroeconomic scenarios link GDP, unemployment, rates, inflation and property prices
  • Credit stress translates borrower deterioration into defaults, losses and provisions
  • Liquidity stress models deposit withdrawals, collateral calls and market funding closure
  • Insurance stress estimates catastrophe losses, reserve deterioration and reinsurance recoveries
  • Management actions tested for timing, feasibility, costs and second-order effects

Participants can classify insurance portfolio risks and assess strategic portfolio mix decisions.

  • Insurance portfolio segmentation by product, customer, channel, territory and peril
  • Underwriting cycle analysis links pricing discipline, capacity and market conditions
  • Risk accumulation identifies correlated exposures from geography, peril and counterparties
  • Portfolio mix targets balance growth, diversification, capital use and risk appetite
  • Combined ratio components analysed through loss, expense and commission ratios
  • Claims development patterns reveal frequency, severity, inflation and reserving concerns

Participants can evaluate underwriting and claims controls that affect insurance portfolio profitability.

  • Underwriting authority matrices define referral thresholds, approvals and exceptions
  • Rate adequacy assessed through expected loss, expenses, profit and capital charges
  • Risk selection rules use exposure data, eligibility criteria and exclusions
  • Claims triage separates straightforward, complex, suspicious and catastrophic cases
  • Loss ratio monitoring identifies adverse selection, pricing gaps and claims inflation
  • Underwriting audits test file quality, adherence and delegated authority controls

Participants can interpret reserve adequacy, actuarial uncertainty and IFRS 17 reporting effects.

  • Claims reserves distinguish case reserves, incurred-but-not-reported and unearned premiums
  • Chain-ladder method estimates ultimate claims from development triangles
  • Bornhuetter-Ferguson method combines expected ratios with emerging experience
  • Reserve adequacy reviews test assumptions, trends, inflation and large losses
  • IFRS 17 measurement models distinguish fulfilment cash flows and contractual service margin
  • Actuarial governance documents data quality, model validation and assumption approval

Participants can assess reinsurance structures, recoverability and counterparty risk for insurance portfolios.

  • Treaty and facultative reinsurance selected by portfolio characteristics and capacity needs
  • Quota-share arrangements allocate premiums, losses, commissions and capital relief
  • Excess-of-loss layers analysed using attachment points, limits and reinstatements
  • Reinsurance recoverables monitored by ageing, disputes, collateral and credit quality
  • Counterparty exposure limits reflect ratings, concentration, collateral and downgrade triggers
  • Reinsurance strategy aligns catastrophe appetite, earnings volatility and solvency objectives

Participants can assess investment and liability interactions affecting insurance solvency and earnings.

  • Asset-liability matching compares duration, currency, liquidity and inflation characteristics
  • Investment portfolio limits cover credit quality, concentration, duration and asset classes
  • Solvency capital requirements reflect market, underwriting, credit and operational risks
  • Cash-flow matching identifies liquidity strain from claims, surrenders and collateral
  • Yield curve movements assessed against reserve discounting and investment valuations
  • Own risk and solvency assessment connects strategy, capital and stress scenarios

Participants can assess risk and control requirements for insurance products distributed through banks.

  • Bancassurance operating models distinguish referral, agency, joint venture and ownership structures
  • Product approval committees assess customer need, risk, pricing and distribution controls
  • Suitability controls match insurance features with customer circumstances and objectives
  • Sales quality monitoring reviews disclosures, cancellations, complaints and replacement patterns
  • Commission structures tested for conflicts, mis-selling incentives and conduct risks
  • Distribution agreements allocate responsibilities for data, claims, complaints and training

Participants can aggregate cross-risk information into decision-focused reports for senior management.

  • Risk aggregation reconciles exposures across legal entities, products and reporting systems
  • BCBS 239 principles applied to risk data accuracy and reporting
  • Risk dashboards prioritise appetite metrics, trends, breaches and emerging threats
  • Heat maps combine inherent risk, residual risk and control effectiveness
  • Management information distinguishes leading indicators from lagging financial outcomes
  • Board papers frame decisions, options, risk trade-offs and recommended actions

Participants can develop recovery actions and crisis governance for severe financial or operational stress.

  • Recovery indicators identify capital, liquidity, profitability and operational deterioration
  • Recovery options assess feasibility, timing, financial impact and execution dependencies
  • Resolution planning considers critical functions, separability and continuity arrangements
  • Crisis management structures define authority, escalation, communications and decision logs
  • Liquidity contingency actions address collateral mobilisation, funding and asset sales
  • Post-incident reviews capture root causes, lessons and control improvements

Participants can build, review and present a complete integrated bank risk and insurance portfolio management pack.

  • Material-risk register prioritising banking, insurance, conduct and operational exposures
  • Risk appetite scorecard with limits, indicators, breaches and escalation actions
  • Capital and liquidity assessment under base, adverse and severe scenarios
  • Credit and insurance portfolio review covering concentrations, losses and emerging trends
  • Reinsurance, funding and recovery actions evaluated against risk appetite constraints
  • Board risk paper presenting findings, decisions, owners and implementation milestones

Exercises and examples are adapted to each cohort's sectors and roles.

What you take back to work

  1. Integrated risk taxonomy and material-risk register
  2. Risk appetite statement and limit dashboard template
  3. Basel capital and liquidity assessment model
  4. Credit and insurance portfolio review template
  5. Stress-testing scenario and management-action plan
  6. Board risk committee paper template

Who should attend

  • Bank Risk Managers — need integrated views of capital, liquidity, credit and operational exposures
  • Insurance Risk Managers — need stronger links between underwriting, reinsurance, investments and group risk
  • Treasury and ALM Managers — need to assess funding, interest-rate and balance-sheet vulnerabilities
  • Credit Risk Officers — need portfolio measurement, concentration analysis and impairment governance skills
  • Finance and Capital Planning Managers — need to connect financial plans with regulatory and economic capital
  • Internal Audit and Compliance Managers — need to review risk governance, controls and reporting evidence

Skills and tools covered

Risk appetite designCapital adequacy analysisCredit portfolio assessmentLiquidity risk managementInsurance portfolio analysisStress testing

Tools and standards

Basel III Framework, ISO 31000, IFRS 9, IFRS 17

How the course runs

Training methodology

The course uses short instructor briefings to establish methods and regulatory concepts, followed by cases drawn from retail banking, corporate lending, treasury, bancassurance and insurance operations. Participants work in groups to interpret portfolio data, identify control failures, set limits, test stress scenarios and prepare management responses. Simulations examine liquidity pressure, credit deterioration, insurance losses and reinsurance recoveries. Individual application planning helps participants adapt the templates and decision methods to their own institution.

Requirements and prerequisites

Participants should have working experience in banking, insurance, treasury, finance, credit, audit, compliance or risk management. They should understand basic financial statements, lending or insurance products, and common risk terms such as capital, liquidity, probability of default and claims. Familiarity with spreadsheet analysis is useful because examples include risk metrics, scenario assumptions and reporting templates. The course does not require actuarial qualification, programming ability, advanced statistical modelling or prior experience of regulatory examinations.

A typical training day

08:30 – 10:30First session
10:30 – 10:45Refreshment break
10:45 – 12:30Second session
12:30 – 13:30Lunch and networking
13:30 – 15:00Third session
15:00 – 15:15Refreshment break
15:15 – 16:30Workshop and daily review

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

What the fee includes

  • Instruction by a practitioner facilitator
  • Full course workbook and materials
  • Exercise files, templates and case studies
  • Refreshments and lunch on classroom deliveries
  • Certificate of completion
  • Post-course application plan

Frequently asked questions

Participants should already understand basic banking, insurance, finance or risk operations. Prior actuarial training, coding skills and advanced quantitative modelling experience are not required.

Bring a laptop for working with course templates and portfolio data examples. Participants may also bring non-confidential versions of their risk appetite statements, reports or policy documents for application planning.

It is designed for professionals with some experience in bank or insurance risk, treasury, finance, credit, compliance, audit or portfolio management. It is particularly useful for staff moving into second-line risk or cross-risk management roles.

Credit risk and underwriting courses focus deeply on one risk discipline. This course connects those disciplines with capital, liquidity, market, operational, reinsurance, governance and board reporting requirements.

Participants can use the templates to improve risk registers, appetite metrics, stress-testing packs, portfolio reviews and management reports. The capstone provides a structured risk management pack that can be adapted to a business unit or institution.

Each training day runs from 08:30 to 16:30 and provides about 6.5 contact hours. The first week establishes bank risk, capital, liquidity and control methods; the second week develops insurance portfolio management, aggregation, recovery planning and the capstone.

Questions about this course?

Ask about dates, fees, group bookings or running it for your team. Our training team replies by email.

Ask on WhatsApp info@skillsetdevelopment.com

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