Credit, Collections & Insolvency News
LendingMetrics has announced that it has been appointed by the Home Collected Credit division of Morses Club to deliver its credit decisioning solution.
Morses Club effected the switch to LendingMetrics’s ADP after a very thorough tendering process supported by a number of face-to-face product and requirements workshops. Even after choosing to work with LendingMetrics, Morses Club continued to operate their legacy provider alongside ADP until they were satisfied that the new solution was delivering the promised improvements.
Commenting a spokesperson from LendingMetrics, said “We are delighted to have been chosen by a company of the caliber of Morses Club and achieving this under such intense scrutiny. The Morses Team have been a pleasure to work with and we now look forward to helping them with their plans to build on their new customer-centric technology stack”.
A spokesperson from Morses Club said “LendingMetrics hosts a number of key platforms for our Home Collected Credit division, helping us to quickly and reliably assess customer affordability in line with our strong focus on responsible lending. The introduction of new customer identity and bank verification solutions has been key to improving our digital capabilities. The team at LendingMetrics has been very flexible and supportive, providing a seamless transition whilst helping us introduce new identity and bank verification solutions during the migration period.”
Separately LendingMetrics has announced that lenders can now incorporate their own legacy scorecard systems in auto-decisioning technology thanks to an upgrade of LendingMetrics’ ADP.
ADP is a decisioning platform which is used across the whole range of credit verticals, including banking, mortgages, commercial lending, consumer credit and car finance. It has done so largely as a result of its cutting-edge engine compilation capabilities, which enable the most comprehensive and sophisticated decisioning requirements to be generated using ‘no code’. Credit risk professionals are therefore able to create and manipulate decisioning logic on demand and in real-time to address credit risk, KYC, fraud and affordability requirements.
The latest version of the award-winning ADP platform can tap risk models that use the Python, R, SAS, PMML and JavaScript program languages traditionally utilised by lenders for their in-house decisioning. A new Universal Risk Model Adaptor has been designed by LendingMetrics’ engineers to allow the inclusion of multiple external languages and full interaction with ADP’s range of features.
David Wylie, Commercial Director of LendingMetrics, said “Many lenders have invested heavily over the years building and perfecting powerful and predictive risk models in other native languages. This upgrade means that for the first time we can ensure these very useful models are part of an automated decisioning process, making the job of credit risk teams much easier.”
LendingMetrics Sales Manager Claire Januszczak said ‘Over the past five years we have had fantastic feedback from our clients and the wider industry that has translated into our impressive commercial success. However, we are always listening to the emerging needs of our clients and now that we have completed this enormous project to deliver the integrations with Python, SAS and others, I know that they will be delighted to now have this added functionality at their fingertips.”
