An upgrade of LendingMetrics’ ADP means lenders can now use their own legacy scorecard systems in auto decisioning technology.

The latest version of the 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, thereby making the job of credit risk teams much easier.”

Claire Januszczak, LendingMetrics’s sales manager, added: “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.”