Reinsurance models & information

Reinsurance Modelling and Information, Risk Transfer Modelling, Reinsurance Data and Management Information, Reinsurance Reporting & IT

The quality of the quantitative models, reinsurance data and management information, and the adequacy of reporting processes and IT reinsurance applications are critical to decision-making on reinsurance strategy and related transactions.

Exene assists insurers in improving the modelling of the insurance risk, gross or ceded, and of secondary risks induced by the transaction itself. We help design reinsurance information and data models. We support insurers in enhancing the efficiency and relevance of reinsurance reporting, and in developing the architecture of reinsurance applications.

Risk transfer modelling

Exene helps insurers to develop quantitative methods to be used by the reinsurance function and establish good governance of own or externalized models covering reinsurance.

We cover the modelling of the gross or ceded insurance risk, tests on the effectiveness of risk transfer and the gross-to-net proxies on direct insurance measures; the modelling of secondary risks induced by the transaction itself, in particular the counterparty risk; the measurement of the performance of risk transfer and reinsurance credit in solvency capital; and the documentation of models and their governance.

Data and management information

The insurance company's governing bodies and its supervisory authority have an increasing demand for information and analysis on its reinsurance. The regulatory project Solvency II adds considerably to the reinsurance information to be communicated through the balance sheet and prudential reporting. The correct structuring of both reinsurance data in IT and reinsurance management information are therefore two major aspects for the insurance company.

Exene supports insurers in developing the information and data model required to manage, control, report and communicate their reinsurance operations.
We help insurers to implement, in the reinsurance field, the key risk and performance indicators (KRI and KPI) and define dashboards adapted to the management and control of the reinsurance activity. We ensure effective integration between data and information that is internal and external to the entity. We promote global indicators that consistently take into account the reinsurance component of the business.

Reinsurance reporting & IT

Exene contributes to implementing reinsurance reporting processes that are robust, sufficiently frequent and adapted to actionable decisions and control of the activity.

We help to achieve seamless integration between statutory and analytical reporting, or between direct and reinsurance information. We work to align risk and accounting approaches. We implement reporting on the management of a general framework of limits.
We assist insurers in developing their reinsurance applications or choosing external systems based on a formalisation of their operational and ERM reinsurance processes.


Some related experience

  • Document models used in reinsurance in the context of Solvency II

  • Define an effectiveness test for risk transfer

  • Define an evaluation formula of multiyear reinsurer counterparty risk

  • Audit processes of aggregation, concentration and correlation measurement for exposure and events

  • Define the reinsurance data model compliant with the Solvency II requirement of a P&C insurer (3 pillars)

  • Define the reinsurance data model compliant with the Solvency II requirement of a Life insurer (3 pillars)

  • List and integrate reinsurance reporting with corresponding direct insurance reporting

  • Produce a cost-benefit analysis on whether to make or buy a reinsurance application