Credit Risk Modeling
We help implement and audit underwriting, anti-fraud, and collection processes by optimizing the use of external registries, big data, risk-based pricing, and early warning systems. We use traditional techniques such as logistic and linear regression and survival analysis. We also work with machine learning, neural networks, psychometric scoring, and reviewing the effectiveness of collection strategies.