Tourism/Hospitality - Tourism/Hospitality Management Johannesburg North FULL TIME Job Summary We are seeking a technically strong and analytically minded Credit Risk Data Scientist to join a growing risk analytics function. The successful candidate will contribute to the development, monitoring, and enhancement of credit risk models while supporting portfolio monitoring, reporting automation, and analytical investigations across the credit lifecycle. This role offers exposure to a broad range of credit risk analytics activities and is ideal for someone who enjoys working with large datasets, uncovering meaningful insights, building predictive solutions, and influencing business decisions through data-driven recommendations. Key Responsibilities * Assist in the development, enhancement, and monitoring of credit risk models across the customer lifecycle. * Perform in-depth portfolio analysis to identify trends, risk drivers, anomalies, and opportunities for performance improvement. * Conduct exploratory data analysis, feature engineering, segmentation analysis, and model performance monitoring. * Support model validation, back-testing, calibration, and ongoing model governance activities. * Develop and maintain recurring analytical reports, dashboards, and automated reporting solutions. * Build and enhance business intelligence dashboards to support portfolio monitoring and performance management. * Extract, transform, validate, and reconcile large datasets from multiple data sources. * Produce regular and ad hoc portfolio monitoring reports and analytical investigations. * Support the optimisation of credit risk strategies through data-driven analysis and recommendations. * Investigate data quality issues and support remediation initiatives. * Collaborate with business stakeholders to translate requirements into analytical and reporting solutions. * Contribute to process improvements, automation initiatives, and enhanced risk monitoring capabilities. Experience and Skills Required Education * Degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, Finance, Actuarial Science, or another quantitative discipline. Experience…

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