Advanced Underwriting Management Training Course

Participants can prioritise submissions and specify decision-grade underwriting information.

• Submission triage scored by fit, quality, urgency and expected value
• Minimum data standards defined for new business and renewal files
• Broker presentations challenged through targeted underwriting information requests
• Incomplete submissions screened using stop, proceed and refer criteria
• Know-your-customer checks integrated with underwriting file acceptance procedures
• Service-level measures balanced against technical review and referral quality

Participants can validate exposure data and identify material information gaps.

• Exposure schedules reconciled against statements of values and insured locations
• Data lineage recorded from broker submission through underwriting system fields
• Material data gaps assessed using sensitivity analysis and conservative assumptions
• Geocoding controls applied to locations, coordinates and address standardisation
• Exposure mapping identifies concentration by occupancy, territory and peril zone
• Version control preserves auditable changes to submission and rating data

Participants can assess insured financial strength and its underwriting implications.

• Financial statements reviewed for liquidity, gearing, profitability and cash conversion
• Working capital trends tested against trading cycles and seasonal exposures
• Debt covenants and refinancing risk considered within insured viability assessments
• Management accounts compared with audited statements and declared turnover
• Counterparty dependencies identified through customer concentration and supplier reliance
• Financial deterioration translated into limits, deductibles and payment terms

Participants can evaluate physical hazards and convert survey findings into underwriting actions.

• Construction, occupancy, protection and exposure framework applied to property risks
• Risk survey recommendations prioritised by severity, feasibility and verification evidence
• Fire protection systems assessed through impairment, testing and maintenance records
• Business continuity plans tested against critical dependencies and recovery times
• Engineering controls evaluated for process safety and loss prevention effectiveness
• Warranties and risk improvements linked to measurable underwriting conditions

Participants can analyse liability exposures, policy triggers and long-tail uncertainty.

• Liability exposure mapped through operations, contracts, jurisdictions and claimant groups
• Occurrence and claims-made triggers compared against coverage and notification requirements
• Contractual indemnities reviewed for assumed liability and insurance transfer gaps
• Long-tail reserving uncertainty considered within limits and attachment decisions
• Class action, recall and mass tort scenarios tested against aggregation potential
• Defence costs treatment assessed within or outside policy limits

Participants can structure coverage that addresses intended risks without unintended grant.

• Insuring clauses tested against declared operations and intended risk transfer
• Definitions drafted to reduce ambiguity around insureds, property and occurrences
• Exclusions assessed for enforceability, scope and unintended coverage gaps
• Deductibles, waiting periods and sublimits aligned with loss severity drivers
• Endorsements controlled through approved wording libraries and version histories
• Manuscript wording reviewed against standard forms and legal escalation criteria

Participants can develop and challenge technical price indications for complex risks.

• Burning-cost analysis adjusted for claims development, exposure and inflation
• Expected loss ratios derived from frequency, severity and exposure assumptions
• Rate change separated into exposure movement, coverage change and price movement
• Expense loads, commission and profit margins incorporated into technical premiums
• Credibility weighting combines insured experience with class and market benchmarks
• Pricing assumptions documented for challenge, approval and renewal comparison

Participants can use rating models appropriately and challenge their assumptions and outputs.

• Generalized linear models interpreted through variables, relativities and interactions
• Model outputs challenged against underwriting knowledge and exposure anomalies
• Rating factor selection tested for relevance, stability and proxy discrimination
• Outlier treatment documented using data rules and underwriting rationale
• Model validation covers discrimination, calibration, drift and back-testing
• Override governance distinguishes permitted judgment from uncontrolled price discounting

Participants can assess catastrophe exposure and incorporate scenario results into underwriting decisions.

• Probable maximum loss estimated from location, construction and protection details
• Catastrophe model outputs interpreted through occurrence exceedance probability curves
• Return-period metrics distinguished from annual aggregate loss expectations
• Secondary perils assessed using event history, vulnerability and uncertainty ranges
• Scenario testing evaluates flood, windstorm, earthquake and wildfire accumulations
• Catastrophe loads reflected within technical price, limits and reinsurance needs

Participants can evaluate credit-related exposures and counterparty dependence within underwriting files.

• Credit assessment combines financial ratios, payment behaviour and sector outlook
• Surety capacity set against contract terms, backlog and working capital
• Counterparty default scenarios tested through receivables, suppliers and guarantees
• Security instruments reviewed for enforceability, tenor and calling conditions
• Trade credit limits monitored against buyer concentration and ageing reports
• Covenant breaches escalated using pre-agreed underwriting intervention triggers

Participants can identify and manage concentration risks across an underwriting portfolio.

• Portfolio segmentation separates risk drivers, profitability patterns and capacity consumption
• Aggregation registers capture shared locations, insured groups and supply chains
• Concentration limits monitored by peril zone, industry, broker and insured group
• Risk-adjusted premium compared with probable maximum loss and capital usage
• New business decisions tested against portfolio mix and correlation assumptions
• Remediation actions include rate correction, limits, exclusions and non-renewal

Participants can assess how reinsurance affects retention, capacity and underwriting choices.

• Quota share, surplus and excess-of-loss structures compared for risk transfer
• Treaty terms reviewed for exclusions, limits, reinstatements and reporting duties
• Facultative placements assessed when treaty capacity or appetite is insufficient
• Net retention calculated after ceded shares, attachments and aggregate protections
• Reinsurance recoverability considered through contract certainty and counterparty quality
• Underwriting referrals tested against treaty conditions and facultative lead times

Participants can convert claims evidence into targeted underwriting and wording improvements.

• Claims triangles interpreted for development patterns and reserve uncertainty
• Frequency and severity trends segmented by peril, industry and coverage feature
• Large-loss reviews identify root causes, control failures and wording disputes
• Closed-claim files tested against original underwriting assumptions and conditions
• Claims leakage indicators linked to deductibles, exclusions and settlement authority
• Underwriting actions prioritised through loss-ratio impact and implementation feasibility

Participants can maintain underwriting files that support fair treatment, auditability and regulatory scrutiny.

• Fair customer outcomes considered within eligibility, pricing and renewal decisions
• Sanctions screening embedded within insured, beneficiary and counterparty assessment
• Anti-money-laundering escalation triggers recognised during premium and ownership reviews
• Solvency II governance linked to underwriting risk policies and reporting
• IFRS 17 performance measures distinguished from underwriting management metrics
• File notes evidence material facts, assumptions, exceptions and approval decisions

Participants can specify controlled use of automation in underwriting workflows.

• Rules engines configured with eligibility, referral and straight-through processing criteria
• Application programming interfaces assessed for data completeness and validation controls
• Automated decision rules monitored for drift, overrides and unintended outcomes
• Document extraction outputs verified against source documents and confidence thresholds
• Human review checkpoints retained for complex, high-value and anomalous submissions
• Model risk registers record owners, limitations, testing and remediation dates

Participants can negotiate underwriting terms and manage referral discussions with disciplined evidence.

• Negotiation positions prepared from price, terms, capacity and walk-away points
• Broker conversations distinguish negotiable features from non-negotiable risk controls
• Referral papers present exposure, pricing, coverage and portfolio implications
• Decision memos compare approval, conditional approval and decline alternatives
• Broker performance reviewed through submission quality, retention and loss experience
• Difficult renewal discussions handled using evidence, alternatives and documented commitments

Participants can design performance reporting that connects individual decisions with portfolio outcomes.

• Underwriting dashboards track hit rate, retention, rate movement and loss ratio
• Leading indicators distinguish rate adequacy, exposure growth and referral volumes
• Underwriter scorecards balance quality, service, growth and profitability measures
• Peer review samples test file quality, pricing rationale and authority compliance
• Monthly portfolio reviews assign owners, actions, deadlines and escalation routes
• Management information separates written, earned, incurred and ultimate performance

Participants can prepare a committee-ready recommendation for a complex insurance risk.

• Complex submission reviewed using integrated exposure, financial and claims evidence
• Competing underwriting options compared through price, terms and net retention
• Scenario analysis tests downside outcomes under severe but plausible losses
• Referral pack structured for senior approval, challenge and recorded decisions
• Committee questions anticipated through evidence gaps, assumptions and sensitivities
• Final recommendation states conditions, monitoring triggers and renewal actions

Participants can build, review and present a complete underwriting management file for a complex portfolio.

• Submission evidence consolidated into a structured underwriting risk assessment
• Technical price indication built from exposure, losses and loading assumptions
• Coverage terms, exclusions, deductibles and warranties drafted for approval
• Portfolio aggregation and catastrophe exposures assessed against stated capacity limits
• Reinsurance implications, referrals and exceptions documented within decision records
• Management presentation defends recommendation, monitoring plan and renewal strategy