IFRS & Basel Solutions
Data and Analytics for Regulatory Compliance
Strengthen risk management and meet IFRS 9 and Basel requirements with reliable credit data, risk models, and portfolio insights.
Turn Credit Data into Regulatory Confidence
Financial institutions face increasing regulatory expectations under frameworks such as IFRS 9 and the Basel accords. Creditinfo’s IFRS & Basel Solutions provide the data, analytics, and modeling support needed to calculate credit risk, estimate expected credit losses, and strengthen capital risk management.
By combining credit bureau data, historical performance data, and advanced risk analytics, our solutions help institutions build more accurate risk models and maintain transparent, well-documented processes. This allows banks and lenders to better understand portfolio risk, improve forecasting, and comply with regulatory reporting requirements.
The result is stronger governance, improved risk visibility, and more efficient regulatory compliance.
Key Features
- Data and analytics for IFRS 9 expected credit loss (ECL) calculations
- Support for Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) modeling
- Historical credit performance data for model development
- Portfolio-level credit risk analysis and segmentation
- Support for stress testing and scenario analysis
- Data integration with internal risk management systems
- Documentation support for regulatory review and audit
- Scalable data infrastructure for large credit portfolios
Use Cases
- Calculate expected credit losses under IFRS 9
- Support internal Basel risk modeling frameworks
- Improve credit risk forecasting and provisioning
- Strengthen capital adequacy and portfolio monitoring
- Develop and validate PD, LGD, and EAD models
- Enhance regulatory reporting and transparency
- Support internal risk governance and compliance processes