The Reinsurance Solutions Group was established in 1997 in Mauritius by the Alexander Forbes Group of South Africa. Today it is the largest independent African-owned reinsurance broking group servicing Africa and the Indian Ocean Islands from its head office in Mauritius, and offices in Africa and London. As a subsidiary of the Reinsurance Solutions Group, we draw on its wealth of experience in leveraging our own knowledge of the Southern African market and our locally-focused skill set to service clients across the region.
We cover the property, engineering, marine, aviation and energy sectors as well as liability, financial lines, political/social risks, high-risk and high-value personal accident events, T&D lines, and term life and whole life reinsurance. Our expertise and direct access to renowned global reinsurers further enable us to provide niche products and tailored solutions for non-specified events.
Comprehensive treaty placement offering, including negotiations and placement with the relevant securities.
Facultative risks are placed into reinsurance markets around the world on both proportional and non-proportional bases.
Tax-efficient jurisdictions for large insurance policy buyers that allow for transfer pricing mechanisms within conducive fiscal and regulatory regimes.
An analytical approach for improved risk management and best-in-class African catastrophe modelling for earthquake, flood, hail and cyclone risks within the Southern African context.
We will be sharing a series of short, practical perspectives on reinsurance, UMAs and risk structures, based on what we are seeing in the market. As a starting point, we have seen increasing interest ...
There is often confusion over how proportional treaty pricing is calculated. In a proportional treaty, the reinsurer agrees to take a fixed percentage of the insurer's premiums and pay the same percen...
As reinsurance markets continue to harden both globally and across South Africa, reinsurers are demanding deeper transparency, stronger justification for pricing assumptions, and credible data that st...