Credit Risk Analyst Western Cape

Truworths is actively recruiting for a Credit Risk Analyst position in Western Cape. This is an excellent opportunity for professionals in the Data / Business / Analysis / Ai sector looking to advance their careers.

• Experience Level: 3 years • Educational Background: Bachelor or equivalent • Industry Focus: Data / Business / Analysis / Ai • Location Preference: in Western Cape

The Credit Risk Analyst position is an important role within the Data / Business / Analysis / Ai sector, offering meaningful career development and professional growth opportunities.

This role in Data / Business / Analysis / Ai offers valuable career progression opportunities aligned with your experience level and professional aspirations.

When applying for this Credit Risk Analyst position, ensure your CV highlights: • Relevant experience matching the 3 years requirement • Educational qualifications in line with Bachelor • Specific achievements in the Data / Business / Analysis / Ai field • Any certifications or specialized training

The Data / Business / Analysis / Ai sector in South Africa continues to show strong demand for skilled professionals. This position represents a valuable opportunity in the current job market.

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Job Description    

Based at our Head Office in Cape Town, this position requires that you to find innovative ways to leverage the vast amount of data and information at your disposal to create customer strategies that drive up profit within constraints. Work within the Risk and Analytics department to enhance Truworths’ company performance by providing information, analyses, reports and technical support for the development and implementation of solutions.

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 3+ 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 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 relevant stakeholders 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, SQL and/or Python preferred (base and/or Enterprise Guide and/or SAS Viya) advantageous

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 preferred (base and/or Enterprise Guide and/or SAS Viya) extremely advantageous SQL/ Python.

Deadline:20th August,2026