Explainable risk and scoring models
We apply Machine Learning (Python, TensorFlow) to banking and insurance use cases —credit scoring (PD/LGD), fraud detection and actuarial pricing— with explainability and documented validation in line with supervisory expectations.
This makes it possible to anticipate trends and reduce operating costs.