OM Bank - Senior Credit Quantitative Analyst: Impairment, Credit & Regulatory Reporting
On-siteJohannesburg, Gauteng, South Africa or Pinelands, Western Cape, South Africa
Job Summary
Develop, maintain, and recalibrate impairment models including PD, EAD, LGD, and macroeconomic frameworks for IFRS 9 compliance. Provide analytical oversight for monthly, quarterly, and annual impairment processes, staging analysis, and model back-testing. Support business planning and risk appetite monitoring by assessing credit performance, portfolio trends, and emerging risks. Conduct stress testing and scenario analysis to evaluate impacts on impairment outcomes and capital adequacy. Prepare and submit accurate regulatory reporting outputs, ensuring alignment with governance timelines and audit requirements. Liaise with stakeholders across Risk, Finance, and Business teams to present credit insights and model outcomes.
Required Qualifications
- Bachelor's degree in Statistics, Mathematics, Actuarial Science, Economics, Finance, Quantitative Risk Management, Data Science or a related quantitative discipline
- 4 to 7 years' experience in credit risk analytics, impairment, IFRS 9, model development, model monitoring, portfolio analytics or quantitative risk management
- Experience with impairment model development, recalibration, monitoring or validation
- Experience working with large datasets, analytical programming tools and credit risk reporting
- Technical IFRS 9 impairment principles and expected credit loss measurement
- PD, EAD, LGD, macroeconomic and valuation model knowledge
- Credit risk analytics, portfolio monitoring and model performance assessment
- Data extraction, manipulation, validation and analytical programming using tools such as SAS, SQL, Python, R or equivalent
- Data visualisation, reporting automation and dashboarding tools such as Power BI, Excel or similar
- Technical documentation, model governance, audit support and regulatory reporting awareness
- Strong experience in credit risk analytics, impairment modelling, IFRS 9, portfolio monitoring, model development or model validation
- Experience working with PD, EAD, LGD, macroeconomic, valuation, capital, stress testing or related credit risk models
- Strong ability to source, consolidate and analyse large datasets, identify anomalies and translate results into commercial and risk insights
- Experience preparing analytical commentary and presenting findings to technical and non-technical stakeholders
- Knowledge of credit risk policies, impairment principles, model governance and regulatory reporting expectations within financial services
- Minimum Requirements Bachelor's degree in Statistics, Mathematics, Actuarial Science, Economics, Finance, Quantitative Risk Management, Data Science or a related quantitative discipline
- Minimum Requirements 4 to 7 years' experience in credit risk analytics, impairment, IFRS 9, model development, model monitoring, portfolio analytics or quantitative risk management
- Minimum Requirements Experience with impairment model development, recalibration, monitoring or validation
- Minimum Requirements Experience working with large datasets, analytical programming tools and credit risk reporting
Desired Qualifications
- Postgraduate qualification in a quantitative, risk, finance or actuarial discipline would be advantageous
- Banking, lending or broader financial services experience would be advantageous
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