Insurance Management and Underwriting Training Course

Participants can apply core regulatory and conduct controls to insurance management decisions.

• IAIS Insurance Core Principles applied to supervisory objectives
• Solvency II pillars: capital, governance, reporting and disclosure
• Conduct risk controls for sales, renewals and claims
• Policy wording governance, product approval and documentation standards
• Compliance monitoring through registers, testing plans and issue remediation
• Escalation routes for material breaches, complaints and regulatory reporting

Participants can identify, assess and treat underwriting and operational insurance risks.

• ISO 31000 risk process: scope, assessment, treatment and monitoring
• Risk appetite statements linked to underwriting authority limits
• Risk registers using likelihood, impact, controls and ownership fields
• Three lines model for assurance and accountability
• Key risk indicators with thresholds, triggers and reporting cadence
• Own risk and solvency assessment scenario design

Participants can define target markets, coverage structures and product governance requirements.

• Target market definition using needs, eligibility and exclusion criteria
• Policy wording structure: insuring clauses, conditions, exclusions and endorsements
• Coverage limits, deductibles and sublimits aligned with intended risk
• Product governance file covering approvals, testing and review dates
• Benefit design trade-offs between affordability, coverage breadth and volatility
• Distribution disclosures supporting informed customer decisions and fair value

Participants can operate a controlled underwriting process from submission through decision documentation.

• Underwriting workflow from submission intake through bind, decline or refer
• Risk information requirements by class, exposure and sum insured
• Proposal form review for completeness, inconsistencies and material facts
• Underwriting authority matrices with limits, referrals and sign-off controls
• File documentation supporting defensible accept, amend and decline decisions
• Service-level measures for turnaround, quality and referral rates

Participants can calculate and explain technical prices using claims and expense assumptions.

• Expected loss pricing using frequency, severity and exposure measures
• Rate construction from pure premium, expenses, profit and contingencies
• Loss ratio, expense ratio and combined ratio calculations
• Credibility weighting between portfolio experience and external rating data
• Rating factors, relativities and segmentation without unfair discrimination
• Technical price versus market price and underwriting judgment

Participants can assess commercial property submissions and set appropriate terms and controls.

• Property risk surveys covering construction, occupancy, protection and exposure
• COPE data assessment for commercial property underwriting decisions
• Fire protection credits, deductibles and probable maximum loss considerations
• Business interruption worksheets: revenue basis, indemnity period and dependencies
• Catastrophe accumulations by location, peril, zone and concentration
• Property policy endorsements addressing valuations, warranties and vacancy

Participants can analyse liability exposures, coverage triggers and long-tail risk implications.

• Liability exposure analysis using operations, turnover, territory and contracts
• Occurrence versus claims-made triggers and retroactive date implications
• Limits architecture: per occurrence, aggregate, deductible and self-insured retention
• Contract review for indemnities, additional insureds and waiver clauses
• Workers compensation, employers liability and occupational injury exposure factors
• Long-tail reserving uncertainty reflected in liability underwriting decisions

Participants can evaluate life and health risks using evidence, benefit and experience data.

• Life underwriting evidence: medical history, occupation, lifestyle and finances
• Mortality assumptions, underwriting classes and premium differentiation methods
• Health insurance benefit limits, provider networks and utilisation controls
• Anti-selection controls through waiting periods, exclusions and pre-existing conditions
• Group life underwriting using census data and scheme experience
• Claims incidence trends informing health and disability product terms

Participants can identify specialty risk features and select appropriate reinsurance structures.

• Marine cargo exposures: conveyance, packing, route and accumulation controls
• Engineering insurance surveys for machinery breakdown and construction risks
• Cyber underwriting questionnaires covering controls, dependencies and incident history
• Facultative reinsurance placement for risks exceeding treaty capacity
• Treaty structures: quota share, surplus, excess of loss
• Reinsurance recoverables, counterparty security and contract certainty controls

Participants can use claims information to improve reserve quality and underwriting action.

• First notice of loss triage, coverage verification and reserve setting
• Claims investigation plans using evidence, statements and expert reports
• Case reserve adequacy reviewed against development and settlement scenarios
• Claims leakage analysis identifying process errors and indemnity overpayments
• Subrogation and salvage opportunities captured through early-file controls
• Complaint handling, root-cause analysis and remediation tracking methods

Participants can monitor portfolio performance and recommend corrective underwriting actions.

• Underwriting dashboards tracking premium, exposure, loss ratio and rate change
• Risk-adjusted portfolio review by segment, territory, channel and cohort
• Rate adequacy monitoring using renewal comparisons and loss trends
• Accumulation controls for catastrophe, industry and single-risk concentrations
• Portfolio steering actions: tighten terms, reprice, cap or exit
• Underwriting audit sampling against authority, pricing and documentation standards

Participants can interpret reserve methods and use reserve movements in management decisions.

• Unearned premium reserve calculations for written premium recognition
• Claims reserving methods: case estimates, IBNR and development triangles
• Chain ladder assumptions, limitations and data quality checks
• Bornhuetter-Ferguson method for immature claims development portfolios
• Reserve movements reconciled to claims payments and reported losses
• Actuarial, finance and claims responsibilities in reserve governance

Participants can explain how underwriting performance is represented in insurance financial reporting.

• IFRS 17 measurement models: GMM, PAA and VFA
• Insurance revenue, insurance service expense and finance income presentation
• Contractual service margin and loss component mechanics
• Premium cash flows reconciled to underwriting and finance reporting
• Key performance indicators: combined ratio, ROE and new-business margin
• Management information packs linking operational drivers to financial outcomes

Participants can assess how underwriting, reserves and investments affect capital requirements.

• Solvency capital requirement drivers: underwriting, market, credit and operational risk
• Own funds quality, admissibility and capital coverage ratios
• Stress testing premium, reserve, catastrophe and investment scenarios
• Reverse stress tests identifying conditions that breach capital thresholds
• Asset-liability matching considerations for duration, liquidity and currency exposures
• Capital allocation supporting risk-adjusted return and underwriting capacity decisions

Participants can manage channel economics, delegated authority and renewal decisions.

• Distribution channel economics across direct, broker, bancassurance and affinity models
• Broker submissions assessed for data quality, fit and profitability
• Delegated authority controls: binding limits, bordereaux and audit rights
• Renewal strategy using retention, rate change and claims experience
• Customer value assessments covering benefits, price, service and exclusions
• Sales incentives reviewed for conduct risk and mis-selling indicators

Participants can identify fraud and financial crime indicators while protecting customer data.

• Fraud risk indicators across applications, claims, providers and intermediaries
• Red-flag rules for identity, document, billing and claim anomalies
• Fraud triage protocols balancing suspicion, evidence and customer treatment
• Special investigation referrals documented with facts, rationale and authority
• Sanctions screening, AML checks and politically exposed person controls
• Data privacy principles governing underwriting and claims information use

Participants can design operational controls for underwriting quality, data and resilience.

• Underwriting work queues designed by complexity, authority and turnaround targets
• Quality assurance scorecards measuring technical accuracy and documentation completeness
• Straight-through processing criteria and exception-management controls defined
• Data dictionaries establishing ownership, definitions, lineage and quality rules
• Model governance for rating algorithms, validation and change control
• Operational resilience plans for outages, third-party failure and recovery

Participants can establish governance routines and reporting that support disciplined underwriting performance.

• Annual underwriting plan setting appetite, growth, pricing and capacity targets
• Underwriting committee terms of reference, decisions and escalation records
• Management action plans responding to adverse portfolio performance
• Balanced scorecards connecting underwriting quality, growth and profitability
• Scenario planning for hard markets, soft markets and loss events
• Board reporting that explains exposure, performance, risks and decisions

Participants can build, review and present a complete underwriting and portfolio management plan for a defined insurance portfolio.

• Case portfolio data analysed for exposure, pricing, claims and concentration
• Underwriting appetite statement drafted with classes, limits and exclusions
• Technical pricing worksheet built from frequency, severity, expenses and margin
• Referral decisions documented against authority, evidence and risk appetite
• Portfolio dashboard prepared with ratios, trends, actions and ownership
• Management presentation defending recommendations, controls, capital and reinsurance implications