Truworths is a market-leading fashion apparel retailer in South Africa offering internationally inspired clothing and footwear for ladies, men, teenagers and kids across a diversified portfolio of its own exclusive brands.
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Assist team to achieve a balanced credit portfolio by accurately forecasting expected results
Develop and implement champion/challenger customer strategies that deliver performance in line with Board expectations
Monitor portfolio performance and ensure book performance meet pre-defined KPI’s by pro-actively proposing changes
Investigating data integrity issues, testing assumptions and validating analytical results, ensuring accuracy of findings
Undertaking analysis to determine the impact of strategy changes to areas of application and account management strategies
Presenting ideas via reports and presentations, outlining findings and making recommendations for improvements to senior stakeholders
Forecasting and monitoring implemented strategies using statistical techniques
Project manage the implementation of strategy changes into live systems
Coding (Retailer experience)
Credit professional and have experience in IFRS9, credit strategy rules, risk registers)
Qualifications and Experience
Relevant post-graduate Degree with mathematical or statistical oriented subjects preferred
Business Science Degree / B.Com Degree or equivalent
8+ or more years’ experience in consumer credit (within a Credit Risk analytics environment) with demonstrated ability to implement solutions based on findings from analytical projects
Competencies
Understanding of the credit life cycle
Revolving store card or credit card experience advantageous
Ability to work efficiently under pressure and within structured and unstructured parameters
Advantageous to have predictive Analytics experience with a highly numerate background
Must be able to monitor models and report back to the board
Must assist in growing team with relevant support, training programs and be seen as a mentor
High attention to detail driving a need for 100% accuracy
High level of integrity and confidentiality
Experienced user of Microsoft Office suite (Excel, PowerPoint, Word)
Experience in SAS (base and/or Enterprise Guide and/or SAS Viya) extremely advantageous SAS Sequel / SAS Python.
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