Insurance & Actuarial7 min read

Reinsurance Programme Optimisation: A Practical Framework

By Jonas Adam Mohamed Osman, known as Yonas Osman

CEO of Quantica Risk

60 Rue François Ier, 75008 Paris, France

Published 15 October 2026

A framework for optimising reinsurance programme structure, balancing capital relief, cost efficiency and counterparty risk across retention and layers.

Executive answer

Reinsurance programme optimisation is the process of structuring retention levels, layer attachment points, and the mix of proportional and non-proportional covers to achieve the best balance of capital efficiency, earnings stability and cost under a given risk appetite. Too many insurers still renew their programme structure year to year with only incremental adjustment, missing opportunities created by changes in their own portfolio composition or in reinsurance market pricing.

A genuinely optimised programme is built from the insurer's own stochastic loss model, not solely from reinsurance broker proposals, because brokers' placement incentives do not always align perfectly with the cedant's capital efficiency objective. Insurers with strong internal catastrophe and underwriting risk models are better positioned to negotiate structure and pricing from an informed position rather than accepting market-standard terms.

Retention setting and capital efficiency

The optimal retention level depends on the insurer's capital base, risk appetite for earnings volatility, and the marginal cost of reinsurance relative to the marginal capital relief obtained, which under Solvency II is measured by the change in Solvency Capital Requirement for a given reinsurance structure. Retaining too little risk wastes capital on reinsurance premium that exceeds the capital benefit, while retaining too much exposes the balance sheet to earnings volatility that can trigger rating agency or supervisory concern after a bad loss year.

Quota share and surplus treaties affect the insurer's net retained exposure differently from excess-of-loss layers, and the right combination depends heavily on the shape of the underlying loss distribution for each line of business. Attritional, high-frequency lines like motor often benefit more from proportional covers that smooth earnings, while catastrophe-exposed property lines benefit more from non-proportional layers targeted at the tail of the loss distribution.

Counterparty concentration and credit risk

Reinsurance counterparty default risk carries an explicit capital charge under Solvency II, calculated based on counterparty credit rating and the loss-given-default assumption, which means programme design should actively manage concentration across reinsurers rather than optimising purely for price. A programme with excellent pricing but concentrated in two or three reinsurers at lower credit ratings can carry a higher net capital cost than a more diversified panel at marginally higher gross premium.

Collateralised reinsurance and ILS capacity reduce counterparty credit risk relative to unrated or lower-rated traditional reinsurers, since collateral trusts back the exposure directly, but introduce operational complexity in managing collateral mechanics and potential basis risk depending on trigger type. Insurers should evaluate counterparty panels holistically across credit quality, claims-paying track record during past catastrophe events, and the diversification benefit of the overall panel structure.

Dynamic programme review and renewal strategy

Reinsurance renewal should be informed by updated portfolio composition each cycle, since growth in new business lines, geographic expansion, or changes in policy limits all shift the optimal retention and layer structure from the prior year's placement. Firms that run their stochastic loss model only at renewal time, rather than monitoring exposure changes through the year, often discover gaps between their actual risk profile and their reinsurance structure only after a loss event exposes the mismatch.

Multi-year reinsurance agreements and structured or finite risk covers can provide pricing stability across the reinsurance cycle, but should be evaluated against the flexibility cost of being locked into a structure that may become suboptimal if the insurer's portfolio shifts materially during the contract term. A disciplined renewal process documents the rationale for structure choices each year, creating an audit trail that supports both internal governance and supervisory review of underwriting risk management.

Conclusion

Reinsurance programme optimisation rewards insurers who invest in their own exposure modelling capability rather than relying solely on broker-led market benchmarking, particularly as capital efficiency considerations under Solvency II become more central to programme design. The discipline of revisiting retention and layer structure against an updated loss model each cycle, rather than defaulting to prior-year structure, consistently identifies measurable efficiency gains.

Counterparty concentration deserves equal weight to price in programme evaluation, since a cheaper but concentrated panel can carry hidden capital and credit cost. Jonas Adam Mohamed Osman, CEO of Quantica Risk, approaches reinsurance programme reviews by rebuilding the client's loss distribution independently before evaluating any proposed structure, so recommendations rest on the insurer's actual risk profile rather than broker assumptions.

Primary sources

reinsurancecapital managementunderwriting riskSolvency II