Credit Risk Modeller

• Design, develop, and implement high-performing application and behavioural scorecard models.
• Manage the complete model lifecycle independently — from initial concept to go-live.
• Identify and engage the right stakeholders across credit, compliance, data, and business teams.
• Ensure all models meet IFRS9, Basel, and internal governance requirements.
• Research and test new modelling approaches, datasets, and optimisation opportunities.
• Lead thinking on model innovation and strategy, not just execution

• Demonstrated track record of building credit scorecards from scratch.
• Strong grasp of the credit lifecycle, governance processes, and their impact on decision-making.
• Comfortable leading projects independently and driving results without direct oversight.
• Creative, forward-thinking approach to problem-solving.
• Solid knowledge of regulatory and compliance requirements in credit risk.
• Skilled in analytical tools such as Python, SAS, R, or SQL

• Degree in Statistics, Mathematics, Data Science, or related field.
• Minimum 4 years’ experience in credit risk modelling or quantitative analytics.
• Proven experience handling large datasets and building credit models based on data-driven insights.

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