Credit Risk
- Understanding of various credit risk model constructs and credit risk modeling frameworks
- Understanding of the consumption layer of the curated data, i.e., model development for credit risk models, especially IFRS9, stress testing, and AIRB (PD, LGD, and EAD models)
- Understanding of variable treatments, exclusions, transformations, and data sources
- Strong experience in the credit risk model development from scratch
- Experience in developing models using Python and SAS
- Experience in working with multiple datasets, cleaning data, and performing data analysis
- Experience in working as a part of large teams
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