analysing and documenting a range of predictive credit models across the entire credit life cycle. Key Responsibilities Designs, constructs and documents appropriate models and strategies across the collection's life cycle collections and recovery results by integrating models and data-driven approaches into operational processes learning and improvement. Bachelor's degree: a numerical degree in statistics, computer science, engineering
well-organised, precise individuals with above average numerical skills, supported by B.Com Rec degree in Financial
communication skills (both written and verbal) Advanced numerical and analytical skills Must be innovative and able
communication skills (both written and verbal) Advanced numerical and analytical skills Must be innovative and able
maintaining store replenishment parameters Strong numerical and analytical aptitude High proficiency in interpreting maintaining store replenishment parameters Strong numerical and analytical aptitude High proficiency in interpreting
maintaining store replenishment parameters Strong numerical and analytical aptitude High proficiency in interpreting maintaining store replenishment parameters Strong numerical and analytical aptitude High proficiency in interpreting
Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka Business Intelligence (BI) Experience Technical data modelling and schema design (“not drag and drop”) Kafka Agile Working Model (AWM) Charter ADVANTAGEOUS SKILLS Demonstrate expertise in data modelling Oracle SQL
Compilation and updating of contract price adjustment models and indices Ensuring that all contractual rights
Compilation and updating of contract price adjustment models and indices Ensuring that all contractual rights
professional integrity Ability to act as a role model for SANSA's values and purpose