Purpose Statement

• To contribute towards the management of model risk in the bank by conducting technical reviews and validations of all models in the bank and further drive improved governance of models in the bank, with specific focus on either 
• models that use machine learning methodologies , or  financial models, or  predictive models (credit risk scorecards). 

Experience

Min: 

• 2+ years’ relevant modelling experience.  
• Experience in a variety of  model methodologies, either related to: 
• machine learning methodologies  
• financial modelling (pricing, provisioning, capital) 
• predictive modelling (credit risk scorecards) 
• Practical experience in end-to-end model development is a requirement. 

Ideal:

• 3+ years relevant experience in a banking environment. 
• Model review and validation experience. 
• Ability to understand complex modelling techniques, discuss and challenge modelling approaches, and to effectively communicate technical concepts and alternative solutions. 

Qualifications (Minimum)

• Grade 12 National Certificate / Vocational 
• Degree in Data Science, Mathematics, Statistics or similar 

Qualifications (Ideal) 

• Honours Degree in Data Science, Mathematics, Statistics, Actuarial or similar