Credit Risk Analyst

A prominent retail organization is looking to appoint a Credit Risk Analyst within its Risk and Analytics team. This is a key strategic position focused on using data-driven insights to shape customer strategies, enhance credit portfolio performance, and support overall business growth. The successful candidate will be highly analytical and numerically strong, with proven experience in credit risk management and the ability to distil complex data into clear, actionable recommendations suited for senior leadership and board-level stakeholders.

Responsibilities:

• Conduct in-depth analysis of credit risk data, developing models to evaluate customer creditworthiness and overall portfolio performance.
• Convert complex analytical findings into clear, practical insights and recommendations for senior management and Board-level stakeholders.
• Contribute to the design and execution of risk strategies aimed at reducing financial exposure while optimising portfolio returns.
• Track, analyse, and report on credit risk trends, portfolio quality, and emerging risk factors.
• Partner with cross-functional teams, including finance, marketing, and data analytics, to ensure risk strategies are aligned with broader business goals.
• Develop, maintain, and continuously improve risk reporting dashboards, metrics, and KPIs.
• Ensure adherence to regulatory standards and internal risk management frameworks.

Qualifications and experience:

• Relevant postgraduate degree in mathematical or statistical subjects preferred, B. Com or business science degree acceptable.
• 3+ 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 NG61089 which is a permanent, hybrid role in Cape Town offering a salary of up to R700k 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.

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Posted on 17 Apr 15:43, Closing date 16 Jun