Location
calgary, ab, Canada
Posted
June 09, 2026
Job Description
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 Qualifications
Bachelor’s degree in relevant f...
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 Qualifications
Bachelor’s degree in relevant f...