CII Advanced Diploma in Insurance

Growth without credible exposure information can hide adverse selection and accumulation. Senior analysis connects portfolio mix, claims development, pricing adequacy, capital use and risk appetite.

Apply it: A commercial portfolio grows 30%, but exposure data are incomplete and rates are unchanged

Strategic pricing needs credible segmentation and an explicit view of uncertainty. Compare expected loss cost, expenses, exposure trends and customer response at a meaningful level while checking data quality and selection effects.

Aggregate exposures across peril, location and distribution channel; correlated losses can defeat apparent diversification and exceed the portfolio’s chosen appetite.

Stable frequency with rising severity points to cost per claim, mix, inflation, litigation or settlement practice. Segment the drivers and validate case reserves before acting.

Apply it: Claim frequency is stable while average severity rises

A disputed claim remains an economic exposure. Estimate using available evidence, appropriate legal advice, comparable experience and plausible scenarios. Document assumptions, distinguish estimates from uncertainty where relevant, set review dates and arrange independent challenge.

Senior claims leaders assess severity, frequency, development, leakage, cycle time, complaints and supplier performance together. A cost target alone can encourage rushed closure.

Risk transfer is a capital and volatility choice, not a premium-only purchase. Compare expected cost, attachment and exhaustion, reinstatements, exclusions, counterparty strength and mismatch between modelled loss and treaty response.

Apply it: A stress test shows a 1-in-200 event could exhaust the insurer’s chosen net retention

A headline ratio can mask concentration and liquidity risk. Decision-makers need scenario severity, aggregation, reinsurance response, counterparty exposure, available liquidity and feasible actions.

Test counterparty security, collateral and model mismatch as well as treaty terms; expected recoveries may fail to arrive when liquidity is most needed.

A target can distort behaviour when treated as the whole objective. Reopenings and complaints may signal under-investigation or poor explanation.

Apply it: A unit meets its low-cost claims target, but complaints and reopened files increase

Volume matters only when economics and customer outcomes are sustainable. Model acquisition and servicing cost, retention, claim quality, commission sensitivity and concentration.

Pair cost and speed targets with quality, risk and customer outcomes; otherwise incentives can reward premature closure or suppress necessary referrals.

Sparse segment data can be unstable; blend credible external experience and state uncertainty instead of treating a small sample as a rate.

Apply it: A flood segment has only 12 claims, while repair inflation raises average severity 15%. Stress severity and settlement delay before changing rates or reserve margins.

Compare successive reserve estimates with paid emergence by claim cohort to explain movement and detect systematic development bias over time.

Stress inflation, severity and settlement delay, then connect adverse results to capital, rate, limit or underwriting action before losses emerge.

Compare premium and retention with commission, servicing expense, claims mix and capital use to measure channel contribution after all costs.

Apply it: A broker channel grows 30%, but cancellations and complaints rise too. Compare retention, commission, service cost, claims mix and conduct before expanding capacity.

Read complaints, cancellations and file quality beside sales; high volume can conceal unsuitable placements or weak customer outcomes over time.

Fund training, system rules and monitoring where delegated growth increases exposure; controls should match severity and exception rates at scale.