Model Validation Analyst

The Model Validation team plays a vital role in strengthening risk management, financial decision-making, and regulatory compliance across the organisation. We validate models across multiple domains, including credit risk, finance, capital modelling, and fraud detection. The team works closely with modelling and business units to provide robust technical challenge, ensuring models remain accurate, reliable, and fit for purpose in a rapidly changing environment.

We’re looking for an experienced Model Validation Analyst (Decision Science) to join a dynamic team. In this role, you will deliver end-to-end validations, take accountability for key outputs, and develop challenger models to enhance accuracy and compliance across the bank’s modelling landscape.

Responsibilities:

• Conduct detailed end-to-end validations of credit risk, finance, capital, and fraud models.
• Develop comprehensive validation plans, documentation, and reports in line with regulatory and internal requirements.
• Build and implement challenger models to independently assess model performance and robustness.
• Analyse model inputs, methodologies, assumptions, and outputs to identify limitations and areas for improvement.
• Perform data quality assessments and ensure data used for modelling and validation is reliable and fit for purpose.
• Engage with model developers, business teams, and risk stakeholders to provide technical challenge and effective feedback.
• Monitor model performance over time and conduct periodic reviews to ensure models remain accurate and fit for purpose.
• Stay informed on regulatory changes, modelling best practices, and emerging techniques in decision science and analytics.

Qualifications and Experience:

• Minimum: Bachelor’s degree in Mathematics, Statistics, Actuarial Science, or Data Science.
• Preferred: Honours degree in Data Science, Statistics, Mathematics, or Actuarial Science.
• 3–6 years of proven experience in scorecard development, including building, validating, and monitoring scorecards for credit risk (application/behaviour) or marketing.
• Strong background in data mining, analytics, and predictive modelling.
• Full understanding of the credit lifecycle.
• Strong analytical skills and meticulous attention to detail, with the ability to work across diverse model types.
• A collaborative mindset and the ability to engage effectively with technical and business stakeholders.

The reference number for this position is NG60938 which is a permanent Hybrid position based in Cape Town offering a salary of up to R960k CTC negotiable on experience and ability. Contact Nokuthula at e-merge.co.za or call her on 011 463 3633 to discuss this and other opportunities.

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Posted on 11 Dec 20:03, Closing date 9 Feb