Credit risk practice

Data management
Optimization of data infrastructure, data gap analysis, and data sourcing strategies

Management of missing data and outliers through explainable AI techniques
Model validation
Comprehensive model validation services to enhance the trustworthiness of credit risk assessments
Model development
Ensuring transparency and interpretability in credit risk model through explainable AI techniques.

Adequacy with the highest standards and the strictest regulatory requirements
Regulatory requirements
We continuously align our development and validation processes with the latest regulatory requirements for credit risk assessment and capital adequacy, ensuring strict compliance with regulations such as the AI Act, DORA and GDPR.