We are looking for a skilled Credit Risk Modeler to design, develop, validate, and optimise credit risk models across the customer credit lifecycle. The successful candidate will apply advanced statistical techniques, machine learning methodologies, and artificial intelligence solutions to generate actionable business insights and improve risk decisioning processes.
The ideal candidate will possess strong quantitative skills, experience in Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) modelling, and the ability to communicate complex analytical findings to both technical and business stakeholders.
Experience with cloud-based analytical platforms, particularly Google Cloud Platform (GCP), is highly desirable.
