Quantitative Credit Analyst: Scorecards & Risk Analytics

Old Mutual Life Assurance Company (SA) Ltd

Cape Town

On-site

ZAR 700,000 - 900,000

Full time

3 days ago
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Job summary

Old Mutual Life Assurance Company (SA) Ltd seeks a Group Credit Investment (GCI) Quantitative Credit Analyst to develop and maintain internal credit rating scorecards and support credit assessment with quantitative analyses. You will work with fundamental analysts to calibrate models, test assumptions and ensure robust governance of scoring methodologies.

Responsibilities include identifying risk drivers, conducting scenario analyses, and contributing quantitative papers for credit committees.

Qualifications

  • Degree with substantial quantitative content in statistics, mathematics, econometrics, actuarial science, engineering, quantitative finance, business science or equivalent.
  • 2-3 years of relevant experience in quantitative modelling and statistical analysis.
  • Programming capability in Python, R or equivalent analytical language, with strong Excel and financial modelling skills.

Responsibilities

  • Develop, maintain and enhance internal credit rating scorecards.
  • Translate risk drivers into scoring frameworks for credit assessment and monitoring.
  • Test scorecard performance, back-testing and benchmarking; address data limitations and expert judgement.

Skills

Python/R
Excel
SQL
Quant modelling
Statistical analysis
Data analysis
Credit risk
Model governance

Education

Quantitative degree (statistics/math/econometrics/actuarial/quant finance)

Tools

Git
Version control

Job description

Old Mutual Life Assurance Company (SA) Ltd seeks a Group Credit Investment (GCI) Quantitative Credit Analyst to develop and maintain internal credit rating scorecards and support credit assessment with quantitative analyses. You will work with fundamental analysts to calibrate models, test assumptions and ensure robust governance of scoring methodologies.

Responsibilities include identifying risk drivers, conducting scenario analyses, and contributing quantitative papers for credit committees.

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