Everyday Loans adopts Horizon to become IFRS 9 compliant well in advance of the target date
Gaining rapid compliance with the IFRS 9 regulations is a key focus for Everyday Loans, who recognise the need to comply without wanting to engage on a lengthy and complex delivery project. Horizon helps them to meet this challenge by applying Jaywing’s proven methodology using Everyday Loans’ own data within a hosted software environment, dramatically cutting the amount of design, test and deployment effort that would otherwise be required in a typical modelling project.
Everyday Loans, are using Jaywing’s Horizon software to develop IFRS 9 models and enable the delivery of all regulatory outputs. Using advanced machine learning techniques, Horizon produces constantly refreshed, always optimal models based on client data, which only requires users to have a good knowledge of their portfolio, rather than an in-depth knowledge of modelling.
Using low-impact data aggregations from existing sources, and with the client’s portfolio knowledge informing a choice of parameters, the software fulfils a requirement to take a proportionate approach, building in the key requirements of the regulation such as the appropriate consideration of a variety of economic scenarios, stress testing, and handling stage allocation.
The system will enable Everyday Loans to achieve compliance at a quicker pace than building it themselves, well in advance of the target date.
Everyday Loans’ Head of Credit Risk, Jason Bovington, said: “We were impressed by the ability of Horizon to automate the required modelling activities and produce provision calculations and other outputs that we need in order to be compliant with the regulations. IFRS 9 had the potential to represent a mandatory, large-scale modelling and delivery project during a period where we also have other business priorities. We quickly realised that by using Jaywing’s software we could rely on their expertise and cut the time we’d need to focus on this delivery. Horizon is cost-effective, gives us the models we need, frees up our analytical resource, and produces a completely refreshed set of optimised models each time it runs”
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