Quantitative Analyst for Credit Risk Modelling

4 weeks ago


Johannesburg, Gauteng, South Africa Network Recruitment Full time
Key Responsibilities

We are seeking a Quantitative Analyst to develop and refine credit risk scorecards for personal loans, credit cards, and vehicle finance. This role involves applying advanced statistical techniques to improve model performance, collaborating with stakeholders to align scorecard strategies with business goals, and analyzing portfolio data to identify trends and opportunities.

About the Role
  • Developing and Refining Scorecards: The successful candidate will design and implement credit risk scorecards using machine learning algorithms and statistical models.
  • Collaboration and Stakeholder Management: The analyst will work closely with cross-functional teams to ensure that scorecard strategies align with business objectives.
  • Portfolio Analysis: Regular analysis of portfolio data will be required to identify trends, opportunities, and potential risks.
Requirements and Qualifications
  • Advanced Statistical Techniques: Strong understanding and application of advanced statistical techniques, including regression, decision trees, and clustering.
  • Credit Risk Experience: Proven experience in credit risk assessment, scoring, and modelling.
  • Programming Skills: Proficiency in programming languages such as Python, R, or SQL.
Benefits and Compensation

The salary for this position is estimated at £60,000 - £80,000 per annum, depending on experience. Additionally, we offer a comprehensive benefits package, including health insurance, retirement plan, and paid time off.



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