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A leading financial institution in Petaling Jaya is seeking a Credit Risk Modeller responsible for managing Expected Credit Loss models for Personal Financial Services. The role requires preparing ECL model results, ensuring compliance with MFRS 9 policy, and coordinating data across departments. Candidates should have a Bachelor's or Master's in a relevant field and strong proficiency in statistical programming languages such as R, SAS, and SQL. This position offers an opportunity to enhance predictive risk models within a reputable institution.
The Credit Risk Modeller is responsible for the end-to-end management, governance, and enhancement of Expected Credit Loss (ECL) models specifically for Personal Financial Services (PFS) credit portfolios. This role acts as a subject matter expert, ensuring the predictive accuracy, robustness, and regulatory compliance of all core credit risk models, including Probability of Default (PD) and Loss Given Default (LGD). This role will report to the Head of Credit Analytics & Data Science, Personal Financial Services Credit.
We appreciate your application and will be in touch with shortlisted candidates regarding next steps.