Angela Baker
Marsh Analytics Solutions Leader, UK & Ireland
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United Kingdom
Through Marsh’s propriety Risk finance optimisation (RFO) analytics framework, we support our clients in identifying the optimal blend of risk retention and risk transfer within their insurance programmes. RFO supports decision-making regarding efficient attachment points for insurance and appropriate limits of indemnity; all in the context of an organisation’s projected insurable losses, costs of capital, risk tolerance, and insurable risk appetite.
Increasingly, organisations base their insurance purchasing decisions on more than purely the premiums paid to insurers – also factoring in some estimate of the losses they will retain each year within policy excesses or deductibles. This generates a Total Cost of Risk (TCOR) view, but does not necessarily consider the notional costs of having to fund unexpected or uninsured losses with your own capital. We capture this important, but more difficult to quantify cost as a component within our proprietary Economic Cost of Risk (ECOR) metric.
RFO is a collaborative alignment of Marsh’s actuarial expertise and insurance market insight with your own business and risk financing strategy. As illustrated above, prior to any actuarial analysis the earlier stages of an RFO Study involve consultation with key stakeholders from your organisation to assess your financial ability and willingness to bear insurable risk, as well as broader perspectives and strategies for insurance. Combined with input and challenge from our own placement brokers on the appetite of the insurance market, this ensures that the RFO outputs compiled by our actuaries are actionable at renewal of your insurance programmes.
Our preferred approach is to build bespoke loss models for each RFO Study; deploying the skill of our actuaries to work with an organisation’s own historical data which is then supplemented with Marsh’s wealth of industry data. This acknowledges the importance of differentiating each organisation’s bespoke risk profile, whilst acknowledging the need to capture the potential for loss events outside of historical experience. Where required, modelling inputs and assumptions are ratified with key business stakeholders and our own industry experts to ensure truly tailored outputs.
Depending on the nature of an organisation’s own risk profile and specific requirements, RFO analysis can be founded almost entirely on Marsh’s industry loss data.
We present the findings of RFO analysis within detailed reports, to support your audit trail regarding insurance decision-making, and in our new Blue[i] RFO Analytics online platform. Blue[i] RFO Analytics enables you to interact with the outputs of RFO analysis independently and in real-time, taking RFO off of the page and into strategic risk financing discussions, across your portfolio of risk.
Marsh Analytics Solutions Leader, UK & Ireland
United Kingdom
Analytics Development Leader, Senior Vice President, Marsh Advisory
United Kingdom
Working within Marsh Risk Analytics, Brad Saunders focuses primarily on driving new business opportunities and developing the analytics value proposition; as well as overseeing actuarial loss modelling for tenders. Brad’s other responsibilities include natural catastrophe mapping and modelling projects; compilation of various accompanying reports for client projects; generation and distribution of departmental marketing collateral; and wider colleague training on analytics offerings.