Senior Risk Manager needed at Truworths

Key Responsibilities    

• 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.