Scorecard Modeller

• Design, develop, and implement robust application and behavioural scorecard models.
• Own the entire model build process—from concept to deployment—without hand-holding.
• Independently identify and engage with key stakeholders across credit, compliance, business, and data.
• Ensure regulatory compliance with IFRS 9, Basel, and internal governance standards.
• Explore new techniques, data sources, and approaches to improve model performance.
• Act as a thought leader, challenging conventional approaches and driving innovation.

• Has proven experience building credit scorecards from the ground up.
• Understands the full credit lifecycle, model governance, and business impact of models.
• Can confidently lead modelling initiatives independently.
• Brings innovative, outside-the-box thinking to technical challenges.
• Has strong knowledge of regulatory requirements in the credit risk space.
• Is proficient in Python, SAS, R, or SQL.

• 4+ years’ experience in credit risk modelling or quantitative analytics.
• Degree in Statistics, Mathematics, Data Science, or a related quantitative field.
• Experience handling large datasets and building production-grade models.

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