Credit Risk MachineLearning (CML) system enables a credit modelling process with maximum precision, integrity, efficiency, user-friendliness and governance by the use of cutting-edge methodologies (Artificial Intelligence) and technology. These technologies and methodologies are made available to your organisation in a plug and play exercise without major implementation effort.
Credit Risk MachineLearning system enables your team to develop ‘best-in-class’ credit risk modelling:
- Credit Risk MachineLearning permits to create all Credit Risk models: credit rating, credit scoring, PD, LGD, EAD, CCF and others, for IRB and internal credit risk modelling
- No programming skills required: user-friendly interface and integrated dataflows completely eliminates need for coding when performing credit risk modelling; self-explanatory interface honed for credit risk modelling; re-do and un-do functions (similar to MS Office) applied to credit risk modelling functions