Insurance Underwriting and Risk Assessment Training Course

Participants can assess proposal information for completeness, materiality, reliability and referral requirements.

• Proposal form analysis: declared facts, omissions, warranties and representations
• Material fact tests applied to applicant disclosures and renewal changes
• Know-your-customer checks, beneficial ownership and sanctions-screening referral triggers
• Exposure schedules converted into sums insured, values and accumulation data
• Site surveys, inspections and third-party reports tested for reliability
• Data quality controls for incomplete, inconsistent or stale underwriting information

Participants can identify key hazards and describe the exposure characteristics that drive underwriting decisions.

• Property hazards assessed using construction, occupancy, protection and exposure factors
• Liability exposure evaluated through operations, contracts, products and jurisdictions
• Motor, marine and engineering risk characteristics compared using exposure profiles
• Frequency-severity analysis distinguishes attritional losses from catastrophic loss potential
• Risk-control recommendations linked to preventable causes and underwriting conditions
• Aggregation risk identified across locations, insured parties and shared dependencies

Participants can use practical quantitative methods to evaluate expected loss and risk acceptability.

• Expected loss calculated from frequency, severity and exposure assumptions
• Risk matrices calibrated with probability bands, impact scales and escalation thresholds
• Experience rating uses credible claims history and exposure-adjusted loss measures
• Loss ratio, combined ratio and rate adequacy interpreted for underwriting action
• Scenario analysis tests plausible loss drivers and underwriting stress points
• Risk scoring models checked for variable relevance, bias and explainability

Participants can develop premiums and policy terms that reflect assessed risk and underwriting objectives.

• Technical premium components: expected claims, expenses, profit margin and reinsurance cost
• Burning-cost pricing derived from adjusted losses and earned exposure
• Rate relativities set using rating factors, credibility and segmentation evidence
• Deductibles, limits and coinsurance aligned with risk retention objectives
• Schedule rating adjustments documented against evidence, authority and pricing rules
• Quote terms tested against target loss ratio and minimum premium

Participants can use claims and reinsurance information to improve acceptance, pricing and renewal decisions.

• Claims triangles reveal development patterns, reserving uncertainty and emerging deterioration
• Large-loss reviews connect claims causation with original underwriting assumptions
• Loss notifications, claims handling and fraud indicators inform renewal decisions
• Facultative and treaty reinsurance structures alter net underwriting exposure
• Retention, attachment points and limits mapped to portfolio protection needs
• Claims feedback loops convert post-loss evidence into revised risk criteria

Participants can review coverage wording and specify conditions that manage non-standard insurance exposures.

• Policy wording analysed for insuring clauses, exclusions, conditions and definitions
• Coverage gaps identified by matching declared exposures against policy scope
• Endorsements drafted to address non-standard hazards without unintended coverage expansion
• Subjectivities, warranties and risk-improvement conditions tracked before binding
• Cancellation, non-renewal and mid-term adjustment decisions follow documented triggers
• Broker communications distinguish quotation assumptions, binding requirements and policy changes

Participants can apply governance and conduct controls to support compliant, fair and auditable underwriting.

• ISO 31000 principles applied to underwriting risk identification and treatment
• Risk appetite statements translated into referral thresholds and acceptance rules
• Delegated authority controls separate underwriting approval, override and audit responsibilities
• Treating Customers Fairly principles tested against suitability and disclosure decisions
• Anti-money-laundering and sanctions indicators escalated through defined referral channels
• Underwriting files evidenced for audit trails, complaints and regulatory review

Participants can monitor portfolio performance and escalate underwriting risks through relevant management information.

• Portfolio segmentation compares profitability, volatility, concentration and renewal retention
• Exposure aggregation maps correlated risks by geography, peril and insured group
• Underwriting dashboards track quote conversion, hit ratio and rate movement
• Control charts distinguish normal claims variation from adverse portfolio signals
• Accumulation limits monitored against catastrophe scenarios and reinsurance capacity
• Management information escalates breaches of appetite, authority and concentration limits

Participants can present a clear underwriting recommendation and plan improvements to their decision process.

• Underwriting decision trees structure accept, decline, refer and modify outcomes
• Referral memoranda present exposure, analysis, terms, rationale and recommendation
• Peer review challenges assumptions, rating evidence and proposed coverage restrictions
• Renewal strategies combine claims experience, exposure changes and market conditions
• Negotiation boundaries protect minimum terms while addressing broker requirements
• Personal application plans define file-quality, pricing and referral improvements