Bulk Annuity and Pension Risk Transfer
We price, model and independently review bulk purchase annuity and longevity transactions, from the pricing basis through to the capital and matching consequences of taking the business on.
Books where the risk is longevity, property or a state the policyholder occupies rather than a single event, and the reinsurance behind them.
We price, model and independently review bulk purchase annuity and longevity transactions, from the pricing basis through to the capital and matching consequences of taking the business on.
We model equity release and lifetime mortgage books, covering the no-negative-equity guarantee, property risk and the redemption behaviour behind the cash flows.
We quantify what each reinsurance arrangement costs and what it returns in reduced volatility and released capital, so the programme is chosen on numbers rather than convention.
We build incidence, recovery and morbidity models for income protection, critical illness and health products, where a claim is a state the policyholder occupies rather than a single event.
Specialist lines break the generic model because the exposure is not in the policy record. At Gini we enrich it: geospatial and hazard data attached to the risk location, corporate structure and know-your-customer mapping on the insured, and portfolio normalisation so exposures written on different bases can be compared at all.
Because the rating factor that matters is frequently absent from what you hold. A commercial property’s flood and subsidence exposure sits in hazard data rather than the schedule, and a corporate insured’s true aggregate exposure sits in its group structure rather than its name. Gini’s enrichment work turns both into fields a model can use.
At Gini we restate exposures written on different terms, currencies, periods and limit structures onto one basis, so accumulation and performance can be measured across the portfolio. It is unglamorous work and it is usually the precondition for everything else, since a model fitted across inconsistent exposure definitions is fitting the definitions.
Yes, with the uncertainty stated. Gini uses exposure-based methods where claim counts cannot support experience rating, anchors to market and external data, and sets out how much of the estimate rests on judgement. Where the data genuinely cannot support the question being asked, we say so rather than producing a number.