Purpose Statement To lead a decision science team, prioritising and overseeing analysis to translate active business data into usable strategic information which informs the business regarding critical and measurable credit and risk indicators. To ensure the delivery within the area of responsibility aligns with the objectives, plans, processes and standards of Decision Science  Experience

Minimum:

Over 6 years’ experience in an analytical science role, at least 3 of which in a leadership or management role requiring validating work Extracting and aggregating data from large relational databases Data mining and predictive modelling Stakeholder relationship engagement and management Responsibility for delivery in a fast moving environment Programming (SAS, SQL, R, Python) Qualifications (Minimum) Honours Degree in Mathematics or Statistics Qualifications (Ideal or Preferred) Masters Degree in Mathematics or Statistics Knowledge

Minimum:

Advanced analytics People management practices and principles Business acumen to identify the impact technical issues may have on design and delivery of solutions.  Analytics Predictive modelling and machine learning Project management methodologies IT implementation cycle Credit cycle Technical understanding and knowledge  Interpretation of user requirements and translation into business requirements specifications Retail credit environment / industry

Ideal:

Capitec Bank experience Retail credit environment / industry Skills Analytical Skills Communications Skills Decision making skills Interpersonal & Relationship management Skills Planning, organising and coordination skills Conditions of Employment Clear criminal and credit record