Model Validation Analyst

SUMMARY:

Are you a skilled Model Validation or Decision Science professional ready to elevate your career? Join one of South Africa’s most innovative financial institutions and contribute to building a system that’s simple, accessible, and transformative.

Company and Job Description:
Join a leading organisation recognised for innovation, simplicity, and client-focused solutions. This financial institution empowers millions through accessible services and invests deeply in the growth and potential of its people.

As a Model Validation Analyst (Decision Science), you will be part of a highly specialised team responsible for ensuring the accuracy, robustness, and governance of models used across the business. You will collaborate with modelling and business teams, provide independent technical challenge, and build challenger models that influence strategic decision-making at scale.

What’s in it for you?
Work with industry-leading experts, gain exposure across multiple modelling domains, grow your analytical expertise, and make a tangible impact in an environment committed to innovation and client empowerment.

POSITION INFO:
Key Responsibilities:

• Conduct full end-to-end validations across credit risk, capital, finance, and fraud models.
• Develop and utilise challenger models to test current model performance and robustness.
• Provide independent technical challenge and assurance to modelling teams and stakeholders.
• Ensure regulatory compliance and strong model governance practices across all models.

• Minimum: Degree in Mathematics, Statistics, Actuarial Science, or Data Science
• Preferred: Honours Degree in the above fields

• 3–6 years’ experience in scorecard development, validation, or monitoring
• Strong background in credit risk scorecards (application/behaviour) and predictive modelling
• Experience in data mining and analysis
• Comprehensive understanding of the credit lifecycle

• Advanced analytical and problem-solving skills
• Ability to collaborate effectively across business and technical teams
• High attention to detail and ability to work across varied model types

• Clear criminal and credit record (non-negotiable)