Manager Credit Scorecard Development and Implementation

• Develop application and behavioral scorecards using statistical techniques.
• Perform data analysis, variable engineering, and model building (Python/SAS/SQL).
• Validate and monitor model performance (KS, Gini, AUC) and recalibrate as needed.
• Deploy scorecards into production in collaboration with IT and business teams.
• Support credit policy, cut-off strategies and portfolio optimization.
• Ensure compliance with regulatory standards.
• Communicate insights to stakeholders and support audits/reviewsDevelop application and behavioral scorecards using statistical techniques.
• Perform data analysis, variable engineering, and model building (Python/SAS/SQL).
• Validate and monitor model performance (KS, Gini, AUC) and recalibrate as needed.
• Deploy scorecards into production in collaboration with IT and business teams.
• Support credit policy, cut-off strategies and portfolio optimization.
• Ensure compliance with regulatory standards.
• Communicate insights to stakeholders and support audits/reviews

Requirements:

• Bachelor’s/Master’s in Actuarial Sciences, Statistics, Mathematics or related field.
• 5+ years of experience in credit risk modeling/scorecard development.
• Strong analytical and statistical modeling skills.
• Proficiency in Python, SAS, SQL and SPSS.
• Knowledge of IFRS9 frameworks is a plus.