Expected Credit Loss (ECL) Modeling
IFRS 9 ECL models that satisfy auditors, regulators, and management alike.
IFRS 9 Expected Credit Loss modeling represents one of the most technically complex and judgment-intensive areas of financial reporting. Financial institutions and corporates with significant receivable portfolios must estimate lifetime expected credit losses using forward-looking information — a requirement that demands robust statistical models, defensible assumptions, and comprehensive documentation.
PI Partnersبي آي بارتنرز develops, validates, and enhances ECL models for banks, finance companies, insurance firms, and corporates across the GCCمجلس التعاون الخليجي. Our team combines deep IFRS 9 technical knowledge with practical modeling expertise, ensuring that ECL outputs are not only technically correct but also commercially sensible and defensible under audit scrutiny.
We cover the full ECL lifecycle — from portfolio segmentation and probability of default estimation through loss given default calibration, exposure at default measurement, staging criteria design, and forward-looking macroeconomic overlay development. We also provide model validation services for organizations that need independent review of existing models.
Our Approach
Portfolio segmentation and data quality assessment
PD model development (through-the-cycle and point-in-time)
LGD calibration using recovery data and workout analysis
Staging criteria design (significant increase in credit risk)
Macroeconomic scenario development and probability weighting
Model validation, back-testing, and documentation for audit
