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
• Modelling experience required (built and implemented statistical models)
• Investigating data integrity issues, testing assumptions and validating analytical results, ensuring accuracy of findings
• Create new account management strategies to optimise the business objectives within specific constraints
• 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
• Credit scoring experience (highly advantageous)

Qualifications and Experience

• Preferred relevant post-graduate Degree with mathematical or statistical oriented subjects
• Business Science Degree or Business finance degree
• 2+ 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
• Experience in SAS preferred (base and/or Enterprise Guide and/or SAS Viya) extremely advantageous
• SAS Sequel / SAS Python.

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)