PROTECTION UNDERWRITING AND CLAIMS: EVERYTHING CHANGES BUT YOU

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Presentation transcript:

PROTECTION UNDERWRITING AND CLAIMS: EVERYTHING CHANGES BUT YOU Scott Cadger Toby Bainbridge Views are our own, no link to corporate policy and absolutely no link to how to consider pricing reinsurance business for us!

AGENDA Why underwrite Historic approaches What has changed in last 20 years Where does the future lie? How to react

What is the point of underwriting?

Historic approaches - UW Historic Scottish Widows application Points to note: One page Wet signature to validate Policyholder attests rather than answer questions

Historic approaches - UW Have you ever had section of form How different is this to current “Have you ever had” section of application forms?

Historic approaches - UW Travel and Armed Forces How different is this to current approach to excluding particular travel and Armed Forces?

Historic approaches - UW Avocation, Suicide and Mis-representation How different is this to current approach?

Historic approaches - CLAIMS First SW death claim paid in 1816 Letter received with death certified into head office. Reviewed by Board and funds paid out within 3 months Has much changed: Intimation approach? E2E times? Evidence needed?

But we have changed some things? Point of Sale Decisions

But we have changed some things? Channel Differentiation Many subgroups, but do we distinguish approach in underwriting and claims?

But we have changed some things? Claims User / charity supplied evidence Improved claims paid out ratios Telephone not paper – start of digitisation? BUT Still predominately manual exercise Always the poor cousin when it comes to investment

What does the future hold? Insurance underwriters Likelihood of automation in next 2 decades? It's fairly likely (66%) http://www.bbc.co.uk/news/technology-34066941

A new underwriting approach? Traditional Online Rules Predictive Underwriting

Predictive Analytics Pattern recognition Iterative Unguided Utilises computing raw power Not “artificial intelligence”

Scary types of data? Socio-demographic markers Lifestyle factors Property value Affluence Lifestage Education level Lifestyle factors Activity levels Risk tolerance Hobbies & interests Media consumption

Are we concerned about mortality? Source: ONS Mortality, 2012-based NPP Reference Volume

Where will genetics play a part? Anti-selection Insurer Preventative treatment? Customer

The brave new world Adapt – new skills (data mining, empirical evidence not just gut and experience), paid more Adopt – use tech as an enabler not a concern Specialists – fewer people, deeper specialism, paid more New roles – product experts, system developers, multi-skilled

QUESTIONS / COMMENTS / CHALLENGES