Risk and Analytics Manager

Truworths · Cape Town, Western Cape

Stop applying one at a time.

JobAlertsZA auto-applies to South African jobs like this one for you, overnight. Upload your CV once — we do the applying.

Job Description

Based at our Head Office in Cape Town, this position requires 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 data-driven credit risk strategies. Strategic contribution demonstrated and must have a broad range of experience.

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
Credit professional and have experience in IFRS9, credit strategy rules, risk registers

Qualifications and Experience

Relevant Degree with mathematical or statistical oriented subjects preferred, or equivalent post-graduate advantageous
6+ 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
Advantageous to have predictive Analytics experience with a highly numerate background
Experienced user of Microsoft Office suite Excel, PowerPoint, Word
Experience in SAS, SQL and /or Python extremely advantageous

Competencies

Ability to work efficiently under pressure and within structured and unstructured parameters
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

Deadline:25th September,2026