Risk and Analytics Manager

A leading retail corporation is seeking a seasoned Risk and Analytics Manager to join its Risk & Analytics department. This strategic position leverages data-driven insights to inform customer strategies, optimise credit portfolios, and enhance overall organisational performance.

The ideal candidate will possess strong analytical and quantitative skills, extensive experience in credit risk management, and the ability to translate complex data into actionable strategies that support executive and Board-level decision-making.

Responsibilities:

• Lead the development, implementation, and maintenance of risk models and analytics frameworks using SAS, SQL, and Python.
• Analyse customer and portfolio data to identify trends, risk exposures, and optimisation opportunities.
• Design and deliver actionable insights to support credit risk strategies, customer segmentation, and business performance improvements.
• Collaborate with business stakeholders to translate strategic requirements into data-driven solutions and reporting frameworks.
• Build, validate, and maintain predictive and statistical models to assess credit risk and inform decision-making.
• Monitor and validate data quality across multiple sources, ensuring robust governance and compliance standards.
• Present findings and recommendations to senior management and Board-level stakeholders in clear, actionable formats.
• Mentor and guide junior analysts in best practices for SAS, SQL, Python, and advanced analytics techniques.

Qualifications and experience:

• Relevant postgraduate degree in mathematical or statistical subjects preferred; B. Com or business science degree acceptable.
• 8+ years’ experience in consumer credit analytics, with proven ability to implement solutions based on analytical findings.
• Deep understanding of the credit lifecycle; experience with revolving store cards or credit cards advantageous.
• Ability to work efficiently under both structured and unstructured environments.
• Experience in predictive analytics with a strong numerical and statistical background.
• Ability to monitor models and report results to the Board.
• Experience mentoring and supporting junior team members.
• Experience with SAS (Base, Enterprise Guide, or SAS Viya) strongly advantageous.
• Knowledge of SAS SQL or Python for analytics is an advantage.

The reference number for this position is NG61095 which is a permanent, hybrid role in Cape Town offering a salary of up to R1mil per annum salary negotiable based on experience. E-mail Nokuthula on e-Merge.co.za or call her for a chat on 011 463 3633 to discuss this and other opportunities.

Are you ready for a change of scenery? E-Merge IT recruitment is a niche recruitment agency. We offer our candidates options so that we can successfully place the right people with the right companies, in the right roles. Check out the e-Merge IT website www.e-merge.co.za for more great positions.

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Posted on 30 Mar 09:45, Closing date 29 May