The credit spread is required for the credit application process. The credit spread should take into account the expected credit loss for an individual deal. As an alternative to conventional methods of scoring, rating and PD determination, Machine Learning can also be used, for this purpose, on the basis of a performance database filled with Deep Learning.
In the past, banks had to decide between web sales or over-the-counter sales. Nowadays, we can bring technology to branch offices and show business units how an omni-channel sales strategy can quickly increase income by using our models.
FERNBACH provides a cutting-edge front office system with omni-channel sales functions that can be used either in a branch office, online, as a self-service, app or mobile device. Lending products can be set up in the system and process models can be restructured.
Our experience in corporate financing has shown us that although every loan is different, the processing of lending operations has to comply with standardised processes as well as regulatory requirements. Our solution can meet these contradictory demands very effectively.
With its White Label Lending solution, FERNBACH provides an end-to-end lending system that is particularly suitable for FinTech start-ups. The underlying lending product design is mapped easily and flexibly by using a web and app interface.