• 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.

Job Experience and Skills Required:
Education:

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

Experience:

• 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

Skills:

• 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

Other Requirements:

• Clear criminal and credit record (non-negotiable)

Apply now!
For more exciting Finance vacancies, please visit:
? www.********.co.za
I also specialise in recruiting in the following:
– Decision Science
– Quantitative Analytics
– Credit Risk Modelling
– Scorecard Development
– Predictive Modelling
– Data Science
– Model Validation
– Banking & Financial Risk
If you have not had any response in two weeks, please consider your application unsuccessful. Your profile will be kept on our database for future opportunities.
For more information, contact:
Louide le Roux. Please send your CV to *****@*****.co.za

Connect with me on LinkedIn!
? www.********.co.za

• 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.

Job Experience and Skills Required:

• Education:
• Minimum: Degree in Mathematics, Statistics, Actuarial Science, or Data Science
• Preferred: Honours Degree in the above fields
• Experience:
• 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
• Skills:
• 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
• Other Requirements:
• Clear criminal and credit record (non-negotiable)

Apply now!

For more exciting Finance vacancies, please visit: ? www.********.co.za

I also specialise in recruiting in the following:

• Decision Science
• Quantitative Analytics
• Credit Risk Modelling
• Scorecard Development
• Predictive Modelling
• Data Science
• Model Validation
• Banking & Financial Risk

If you have not had any response in two weeks, please consider your application unsuccessful. Your profile will be kept on our database for future opportunities.

For more information, contact:
Louide le Roux
Please send your CV to *****@*****.co.za

Connect with me on LinkedIn!
? www.********.co.za