Credit Risk Modeller

Network Recruitment; Centurion; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Join a leading financial services company as a Credit Risk Modeler, where you will drive the creation and implementation of credit risk strategies. This role allows you to leverage your expertise in data science and model development to enhance financial performance and support data-driven decision-making in a dynamic environment.

Benefits

Full ownership of the modelling lifecycle

Collaborative team of data enthusiasts

Room for career growth and innovation

Qualifications

• 3-7 years of experience building risk or financial models.
• Strong knowledge of credit lifecycle, scorecard development, and risk KPIs.

Responsibilities

• Design, develop, and maintain models that power smarter lending.
• Monitor model performance and stability through diagnostics and validations.
• Collaborate with Analysts and Engineers to ensure clean data pipelines.

Skills

Python

R

SQL

SAS

Model Governance

Education

Degree in Statistics, Data Science, Actuarial Science, Mathematics, or related field

Job description

This isn't just another modelling gig—it's an opportunity to take ownership of credit risk strategy and build high-impact solutions from scratch. You'll be at the heart of the decision-making process, designing models that drive financial performance, enable growth, and ensure smart risk-taking across both merchant and consumer lending portfolios.

What You'll Do:

1. Design, develop, and maintain cutting-edge models that power smarter lending.
2. Build and refine models that improve approvals and reduce defaults.
3. Monitor model performance and stability through diagnostic tools and validations.
4. Collaborate with Analysts, Engineers, and decision-makers to ensure clean data pipelines.
5. Produce transparent, audit-ready documentation that supports model governance.
6. Contribute to stress testing and scenario planning for capital and regulatory assessments.
7. Help integrate your models into operational systems and automation pipelines.
8. Stay ahead of regulatory updates, emerging modelling trends, and AI innovations.

What You'll Bring:

1. A Degree in Statistics, Data Science, Actuarial Science, Mathematics, or a related field.
2. 3-7 years of hands-on experience building risk or financial models.
3. Strong knowledge of credit lifecycle, scorecard development, and risk KPIs.
4. Proficiency in Python, R, SQL, or SAS, and familiarity with large datasets.
5. Comfortable working in a fast-paced, data-rich environment (bonus if fintech).

Bonus: Familiarity with model governance, validation frameworks, or regulatory requirements.

Bonus Points If You:

• Have an MSc or PhD in a quantitative field.
• Know your way around machine learning, even if it's not your daily toolkit.
• Can explain a Gini coefficient or PD curve to a business executive in plain English.
• Have worked with cross-functional teams to embed models into production systems.

What You Get:

• A role where your models directly shape lending decisions and risk appetite.
• Full ownership of the modelling lifecycle—not just maintenance.
• Real-world data, real-time feedback, and real impact.
• A highly collaborative team of data enthusiasts and business innovators.
• Room to grow, innovate, and elevate your career.