Overview

Lead credit risk modeling with advanced analytics as a Data Scientist. Utilize skills in statistical modeling and machine learning in a hybrid work environment. As a permanent team member, you will design, develop, validate, and maintain critical credit risk models, focusing on Probability of Default, Loss Given Default, and Exposure at Default. Collaborate with cross-functional teams to extract insights from complex data and translate analytical results into practical applications. Your analytical judgment will support strategic and operational decisions across the organization.

Responsibilities

• Design and validate credit risk models including PD, LGD, and EAD
• Analyze internal and external data for data-driven insights
• Apply machine learning techniques for risk and chance identification
• Communicate complex insights to non-technical stakeholders
• Collaborate with teams to implement analytics in production <...