Modeller - Credit Risk

Findojobs South Africa; Gauteng; On-site; ZAR 600,000 - 1,000,000; Full time

Job summary

Join a leading financial services company as a Credit Risk Modeller, where you'll build and validate credit risk models while collaborating with data engineers. This role requires a degree in statistics or a related field and 3–7 years of experience in credit risk and analytics. The successful candidate will contribute to strategic lending decisions and ensure high-quality data input, while thriving in an innovative environment.

Benefits

Dynamic work environment

Teamwork culture encouraging innovation

Continuous learning opportunities

Qualifications

• 3–7 years of hands-on experience in credit risk, financial modelling, or data analytics.
• Solid grasp of the credit lifecycle and regulatory compliance.
• Experience in fintech or data-heavy environments is a bonus.

Responsibilities

• Build, refine, and validate credit risk models for merchant and consumer advances.
• Develop credit scoring tools to support strategic lending decisions.
• Monitor and optimise model performance to ensure accuracy.

Skills

Credit Risk Modelling

Data Analytics

Python

R

SQL

Machine Learning

Education

Degree in Statistics

Actuarial Science

Data Science

Quantitative Risk Management

Job description

Credit Risk Modeller (Lending & Analytics)

What You’ll Do:

• Build, refine, and validate credit risk models for merchant and consumer advances.
• Develop credit scoring tools to support strategic lending decisions.
• Monitor and optimise model performance to ensure accuracy and business value.
• Work closely with data engineers and analysts to guarantee high-quality data input.
• Deliver clear and audit-ready model documentation and validation reports.
• Support regulatory stress testing, scenario modelling, and capital planning.
• Champion the integration of risk models into production systems using R, Python, SQL, or similar tools.
• Stay ahead of emerging trends in data science, modelling, and regulatory standards.

What We’re Looking For:

• A Degree in Statistics, Actuarial Science, Data Science, Quantitative Risk Management, or similar.
• 3–7 years of hands-on experience in credit risk, financial modelling, or data analytics.
• Solid grasp of the credit lifecycle, scoring methodologies, and regulatory compliance.
• Proficient in Python, R, SQL, or other statistical programming tools.
• Experience with fintech or fast-paced, data-heavy environments is a bonus.
• Knowledge of machine learning frameworks is an advantage.

You’ll Thrive If You Are:

• A critical thinker with a natural curiosity for data and trends.
• Detail-obsessed with a passion for precision and model integrity.
• A clear communicator who can translate numbers into narratives.
• Highly organised, proactive, and able to juggle multiple projects at once.
• Driven to make a measurable business impact using cutting-edge modelling.

Why This Role Rocks:

• You’ll work with a team that values data-driven decisions and innovation.
• Build and influence end-to-end risk strategies for a growing credit portfolio.
• Be part of a dynamic environment that encourages continuous learning and fresh ideas.
• Enjoy a culture that rewards ownership, agility, and collaboration.

If you are interested in this opportunity, please apply directly to
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