OM Bank - Senior Credit Quantitative Analyst: Impairment, Credit & Regulatory Reporting - Pinelands, Johannesburg

Job Description

• At OM Bank, we strive to attract great people who are passionate about coming together for a higher purpose- building something unique and aspirational, always aiming to be the best they can be.
• We are rooted in our purpose to inspire and enable our customers to grow and sustain their prosperity.
• The Credit Quantitate Analyst is responsible for providing specialist technical and analytical support across impairment, IFRS 9, credit risk modelling, portfolio monitoring and regulatory reporting activities.
• The role supports the development, recalibration, monitoring and documentation of impairment models, including PD, EAD, LGD, macroeconomic and valuation models. The role provides analytical insight into credit portfolio performance, impairment drivers, emerging risk trends and model outcomes to support effective credit risk management and decision-making. While the role does not carry direct people management accountability, it is expected to provide technical guidance and analytical support to junior analysts where required.

Responsibilities Impairment & IFRS 9 Oversight

• Develop, maintain and periodically recalibrate PD, EAD, LGD, macroeconomic and loan valuation models used in impairment calculations.
• Support monthly, quarterly and annual impairment processes, including impairment calculations, staging analysis, overlays, model outputs and movement commentary.
• Analyse historical data, portfolio trends, economic conditions and market factors to support impairment recognition and accurate measurement of expected credit losses.
• Monitor impairment model performance through back-testing, trend analysis and methodology reviews, escalating issues where model outputs require further investigation.
• Maintain clear technical documentation for impairment models, methodologies, assumptions and valuation approaches, ensuring alignment to policy and governance requirements.

Business Planning Support & Risk Appetite Analytics

• Provide analytical input into business planning, portfolio strategy and risk appetite monitoring by assessing credit performance, impairment trends and emerging portfolio risks.
• Monitor key portfolio indicators, including credit losses, NPL ratios, roll rates, arrears trends, recoveries and market benchmarks.
• Identify key credit trends and provide recommendations to support risk mitigation, portfolio optimisation and sustainable risk-based profitability.
• Support the assessment of how portfolio mix, customer behaviour, economic conditions and business strategy influence impairment and credit risk outcomes.

Capital Management & Stress Testing

• Support capital, regulatory and economic risk modelling activities where they intersect with impairment and credit risk analytics.
• Provide analytical support for stress testing, scenario analysis and macroeconomic sensitivity assessments.
• Analyse the impact of stress scenarios on impairment outcomes, credit losses and portfolio performance, providing clear commentary for management and governance use.
• Contribute to consistency between impairment, capital and stress testing assumptions where applicable.

Regulatory Reporting & Compliance

• Support the preparation, review and submission of impairment, credit risk, capital and regulatory reporting outputs.
• Ensure analytical outputs are accurate, complete, well documented and produced within agreed governance timelines.
• Maintain appropriate evidence, working papers and documentation to support regulatory submissions, audit reviews and management reporting.
• Identify and escalate data, model, methodology or control issues that may affect reporting accuracy or compliance with internal policies and frameworks.

Credit Reporting

• Prepare and enhance credit portfolio, impairment and model monitoring reports, including commentary on key trends, movements and emerging risks.
• Present key credit trends and highlight recommendations or risk mitigation actions to relevant Risk Heads and stakeholders.
• Support the automation, standardisation and optimisation of recurring credit and impairment reporting processes.
• Ensure reporting outputs are insightful, accurate, fit for purpose and aligned to stakeholder requirements.

Stakeholder Engagement, Audit & Governance

• Liaise with stakeholders across Risk, Finance, IT, Collections, Operations, Front End and Business teams to support impairment and credit risk deliverables.
• Present analytical results, impairment drivers, model outcomes and recommendations to both technical and non-technical audiences.
• Support audit, model validation and governance processes by providing analysis, documentation, evidence and responses to technical queries.
• Contribute to governance forums and management discussions by providing specialist impairment insights and well-supported recommendations.

Skills & Experience

• 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.

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.

Leadership & Behavioural

• Strategic thinking with strong commercial awareness
• Ability to influence senior stakeholders Credit, Finance, Risk, Treasury
• Strong judgement and control mindset
• Clear communication of complex risk topics
• Strong team leadership and talent development

Minimum Requirements

• Bachelor's degree in Statistics, Mathematics, Actuarial Science, Economics, Finance, Quantitative Risk Management, Data Science or a related quantitative discipline.
• Postgraduate qualification in a quantitative, risk, finance or actuarial discipline would be advantageous.
• 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.
• Banking, lending or broader financial services experience would be advantageous.

Competencies

Strategic

• Identifies and acts on broader portfolio, market, and regulatory trends to drive long-term, value-adding outcomes.
• Applies sound judgement to balance risk, growth, and sustainability.

Decision-Making Ability

• Demonstrates sound technical judgement when interpreting model outputs, impairment movements and portfolio trends.
• Makes evidence-based recommendations using data, methodology, policy and business context.
• Escalates material risks, anomalies and areas of uncertainty appropriately.

Analytical & Risk Mindset

• Strong ability to interpret portfolio data, impairment results, stress testing outputs and credit risk indicators.
• Uses insight to proactively identify emerging risks, model performance issues and portfolio deterioration.
• Applies statistical, quantitative and credit risk techniques to solve complex analytical problems.

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