Full-Time Manager – Risk and Analytics – Truworths Careers
Job Description
Truworths Careers – Manager – Risk and Analytics – Cape Town
Job Description:
Truworths is seeking a Manager – Risk and Analytics to be based at our Head Office in Cape Town. In this role, you will utilize the vast amount of data available to develop innovative customer strategies that drive profitability while working within constraints. As part of the Risk and Analytics department, you will contribute to the enhancement of company performance by providing information, analysis, reports, and technical support for the development and implementation of data-driven credit risk strategies. This position requires strategic contribution and broad experience across the analytics domain.
Key Responsibilities:
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Assist the team in achieving a balanced credit portfolio through accurate forecasting of expected results.
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Develop and implement champion/challenger customer strategies to meet Board expectations.
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Monitor portfolio performance, ensuring book performance aligns with pre-defined KPIs, and propose proactive changes.
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Investigate data integrity issues, test assumptions, and validate analytical results to ensure accuracy.
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Conduct analysis to determine the impact of strategy changes on application and account management strategies.
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Present findings and recommendations through reports and presentations to senior stakeholders.
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Forecast and monitor implemented strategies using statistical techniques.
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Project manage the implementation of strategy changes into live systems.
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Apply coding skills, ideally with retail experience.
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Apply expertise in credit risk, including IFRS9, credit strategy rules, and risk registers.
Qualifications and Experience:
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Relevant post-graduate degree with a focus on mathematical or statistical subjects is preferred.
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Business Science Degree, B.Com Degree, or equivalent.
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8+ years of experience in consumer credit within a Credit Risk analytics environment, with a proven ability to implement solutions based on analytical project findings.
Competencies:
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Strong understanding of the credit life cycle.
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Experience with revolving store cards or credit cards is advantageous.
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Ability to work effectively under pressure, both within structured and unstructured environments.
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Predictive analytics experience with a numerate background is a plus.
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Ability to monitor models and report to the Board.
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Provide support and training to help grow the team and act as a mentor.
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High attention to detail and a commitment to 100% accuracy.
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Strong integrity and confidentiality.
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Proficient in Microsoft Office Suite (Excel, PowerPoint, Word).
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Experience in SAS (base and/or Enterprise Guide and/or Viya) is extremely advantageous.
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