In this episode we take the opportunity to talk to one of the most credit risk experienced men in Fintech who has ranged from a dozen years at seminal Capital One through managing Barclay’s £40 bn portfolio, being CRO at Funding Circle to now founding his own Fintech to mechanise further short term SME liquidity financing, Jerome’s stats are that banks automate roughly 5% of this type of lending whereas he believes the vast majority to be automatable.

We discuss what credit risk is in the age of data, automation and Fintechs and dive into the multiplicity of models used in a credit pipeline not just for risk but for wider business management and portfolio management purposes as well as looking at the parameters of automation versus human input. We also look at Jerome’s experience of what is stable about the models value and what is not over significant economic dislocations.

Importantly there are a huge range of uses of credit models above and beyond the simple case of credit risk and Jerome gives us a flavour of these across his own career – a fascinating stat being the incarnation which had 25 models in operation :-!

Topics discussed include:

• Jerome’s background in the Art world as well as Banking world

And much much more