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31 May
2026
Permanant Quantitative Analyst | Capitec Bank Vacancies
Job Description
Capitec Bank Vacancies – Capitec Bank Vacancies
Job Type: Permanant
Company: Capitec Bank
Quantitative Analyst
We are seeking a highly analytical and motivated Quantitative Analyst to join a dynamic banking environment focused on innovation, data-driven decision-making, and risk management excellence. The successful candidate will play a key role in validating, developing, and monitoring predictive models that support critical business functions, including credit risk management, financial analysis, fraud detection, and regulatory compliance.
Key Responsibilities
- Perform end-to-end model validation across various risk and business domains.
- Assess the accuracy, robustness, and effectiveness of statistical and predictive models.
- Develop challenger models to evaluate and benchmark existing models.
- Validate credit risk application, behavioural, and marketing scorecards.
- Conduct detailed quantitative analyses using large and complex datasets.
- Apply data mining techniques to support predictive modelling and business insights.
- Evaluate model assumptions, methodologies, performance, and governance frameworks.
- Prepare validation reports and communicate findings to stakeholders.
- Collaborate with modelling teams, risk functions, and business units to ensure models remain fit for purpose.
- Monitor model performance and identify opportunities for improvement.
- Support regulatory compliance requirements and model governance standards.
- Contribute to the enhancement of modelling frameworks, validation methodologies, and analytical best practices.
Requirements
- Degree in Mathematics, Statistics, Actuarial Science, Data Science, or a related quantitative field.
- Minimum of 3–6 years’ experience in quantitative analysis, predictive modelling, or credit risk analytics.
- Proven experience in developing, validating, and monitoring credit scorecards.
- Strong understanding of credit risk application and behavioural models.
- Experience using data mining techniques for statistical analysis and predictive modelling.
- Comprehensive understanding of the credit lifecycle and risk management principles.
- Strong analytical and problem-solving capabilities.
- Ability to work with large datasets and complex modelling environments.
- Experience within banking, financial services, or risk management environments will be advantageous.
Preferred Qualifications
- Honours Degree in Data Science, Statistics, Mathematics, Actuarial Science, or a related discipline.
- Advanced knowledge of statistical modelling techniques and model validation methodologies.
- Experience working with model governance and regulatory compliance frameworks.
Skills and Competencies
- Strong quantitative and statistical analysis skills.
- Advanced problem-solving and critical-thinking abilities.
- Excellent attention to detail and accuracy.
- Strong communication and stakeholder engagement skills.
- Ability to present complex analytical findings in a clear and understandable manner.
- Strong organizational and project management capabilities.
- Ability to manage multiple priorities and deliver high-quality work within deadlines.
- Collaborative mindset with the ability to work effectively across technical and business teams.
- Commitment to continuous learning and professional development.
What We Offer
- Opportunity to work on advanced analytical and predictive modelling projects.
- Exposure to diverse business domains including credit risk, finance, fraud, and capital modelling.
- Collaborative and innovative work environment.
- Professional growth and career development opportunities.
- Opportunity to contribute to data-driven decision-making and business transformation initiatives.
If you are passionate about analytics, predictive modelling, and solving complex business challenges through data, we encourage you to apply for this exciting Quantitative Analyst opportunity and take the next step in your career.
Conditions of Employment
- Clear criminal record.
- Clear credit record.
- Commitment to maintaining professional and ethical standards.
- Employment will be considered in line with diversity, inclusion, and employment equity objectives.
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