Senior Credit Risk Manager

Senior Credit Risk Manager Cape Town Competitive Salary Overview: Situated at our clients Cape Town Head Office, this role involves utilizing the vast pool of data available to develop innovative customer strategies that boost profits while working within constraints. Collaborate with the Risk and Analytics department to enhance clients' business performance by offering information, analyses, reports, and technical assistance for creating and executing data-driven credit risk strategies. Show strategic input and possess a diverse range of experience. Key Responsibilities: Aid the team in achieving a well-balanced credit portfolio through accurate forecasting of anticipated outcomes Devise and execute champion/challenger customer strategies aligning with Board expectations Monitor portfolio performance, ensuring compliance with predefined KPIs by proposing proactive adjustments Address data integrity concerns, validate analytical results, and test assumptions to ensure accuracy Analyze the effects of strategy alterations on application areas and account management strategies Deliver insights through reports and presentations, presenting findings and recommendations to senior stakeholders Use statistical techniques to forecast and track implemented strategies Oversee the implementation of strategy changes into operational systems Proficient in coding with retail experience Credit professional with expertise in IFRS9, credit strategy rules, and risk registers Key Requirements: Preferably hold a postgraduate degree with a focus on mathematical or statistical subjects Business Science Degree / B.Com Degree or equivalent Possess 8+ years of experience in consumer credit (in a Credit Risk analytics environment) with a track record of implementing solutions based on analytical findings Familiarity with the credit life cycle Experience in revolving store card or credit card operations is beneficial Ability to work effectively under pressure and within structured and unstructured frameworks Predictive Analytics experience with a strong numerical background is advantageous Capable of monitoring models and reporting to the board Assist in team growth through relevant support, training programs, and mentoring Strong attention to detail with a focus on precision High integrity and confidentiality Proficient user of Microsoft Office suite (Excel, PowerPoint, Word) Experience in SAS (base and/or Enterprise Guide and/or SAS Viya) Knowledge of SAS Sequel / SAS Python