Credit Risk Modeller / Analyst

Hello Group; Centurion; On-site; ZAR 500,000 - 700,000; Full time

Job summary

A financial services company based in Centurion, Gauteng seeks a Credit Risk Modeller / Analyst. The successful candidate will build, validate, and maintain risk models for decision-making. Ideal for those experienced in credit risk modelling or data analytics within financial services, the role requires a strong analytical background and programming expertise. Apply by July 4, 2025.

Qualifications

• 3–7 years’ experience in credit risk modelling or data analytics.
• Experience building credit models using data insights.
• Solid understanding of risk metrics and regulatory frameworks.

Responsibilities

• Develop and maintain credit risk measurement models.
• Validate and monitor model performance for accuracy.
• Produce documentation for governance and audits.

Skills

Data analysis

Statistical modeling

Risk assessment

Programming (R, Python, SQL)

Education

Degree in Statistics, Mathematics, or related field

Postgraduate degree (MSc/PhD)

Tools

Statistical software (R, Python, SAS)

SQL

Job description

Job title : Credit Risk Modeller / Analyst

Job Location : Gauteng, Centurion Deadline : August 28, 2025 Quick Recommended Links

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We are seeking a highly analytical and detail-oriented Credit Risk Modeller to join our Lending Team. The successful candidate will be responsible for building, validating, and maintaining credit risk models used for decision-making, calibrating, regulatory compliance, and strategic risk assessment. This role is ideal for a technically skilled individual who is passionate about data, modelling, and developing insights that drive business impact.

Duties and Responsibilities

Develop, implement, and maintain models for credit risk measurement related to;

Merchant Advances

Consumer Advances

Create and refine credit scoring models to support lending decisions and customer lifecycle strategies.

Conduct model performance monitoring, diagnostics, and ongoing validations to ensure accuracy and stability.

Collaborate with Data Engineers and Business Analysts to ensure data quality and integrity for model inputs.

Produce clear, well-documented model development and validation reports for governance and audit purposes.

Contribute to stress testing and scenario analysis for regulatory or internal capital planning.

Stay current with regulatory changes, data science trends, and modelling techniques.

Engage with internal committees, governance teams, and stakeholders to explain model outcomes and support decision-making.

Support automation and integration of models into operational systems using appropriate tools and programming languages.

Minimum Requirements

A degree in Statistics, Actuarial Science, Mathematics, Data Science, Quantitative Risk Management, or a related field.

A postgraduate degree (MSc / PhD) is advantageous.

3–7 years’ experience in credit risk modelling, financial modelling, or data analytics within financial services, fintech, or consulting.

Experience building credit models based on data-driven insights.

Solid understanding of credit lifecycle, risk metrics, and regulatory frameworks.

Experience working in a fintech or data-driven environment.

Hands-on experience with statistical programming (e.g., R, Python, SAS) and data manipulation (SQL).

Familiarity with modern machine learning approaches is beneficial, though not essential.

Deadline : 4th July,2025

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