Manager, Credit Data Science

Business Segment : Business & Commercial Banking

Location : ZA, GP, Johannesburg, 30 Baker Street

To manage the optimal development, deployment, maintenance, and monitoring of high-quality credit risk models throughout the credit life cycle, upholding model governance standards. Apply innovative machine learning techniques, conduct customer‑centric data analytics, and contribute to dashboard creation.

Qualifications

• First Degree
• Field of Study : Mathematical Sciences, Risk Management, Analytics, Quantitative Studies
• Be able to identify and implement process improvements in model development, deployment, and monitoring workflows within banking environments.
• Develop monitoring dashboards and effectively communicate analytical insights and KPIs to stakeholders. Ensure adherence to model risk management and governance standards, compliance with regulations and internal governance requirements specific to credit risk models.
• Experience in credit risk modelling, including development, enhancement, deployment, and monitoring of credit risk models across the credit life cycle and various portfolios. Application of machine learning techniques specifically for credit risk modelling, enhancing predictive modelling accuracy. Experience and knowledge of client‑centric data analytics, interpreting complex data sets for credit risk assessment, and leveraging alternative data sources.

Additional Information

Please note : All our recruitment processes comply with the applicable local laws and regulations.

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