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Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this.
Job Description
As a Credit Quantitative Analyst, you will play a critical role in the development, optimisation, and ongoing monitoring of credit origination and underwriting strategies. You will apply advanced quantitative analysis and credit risk expertise to support responsible growth, profitability, and portfolio quality across lending products. Your responsibilities will involve quantitative analysis, risk modelling, and providing insights to optimise lending practices.
You’ll work closely with senior analysts and contribute to the bank’s credit risk assessment and collaborate with Product, Data, Operations, and Finance teams.
KEY RESULT AREAS
Credit Originations & Underwriting Strategy
- Development, analysis, and continuous improvement of credit origination strategies, ensuring alignment with risk appetite and business objectives.
- Optimise scorecard cut-offs, banding strategies, and decision thresholds to balance approval rates, risk, and profitability.
- Assist in the design, implement, and maintain credit policy rules across originations, ensuring robust risk controls and regulatory compliance.
- Support the development of loan pricing and credit limit strategies, incorporating risk-based pricing principles and customer segmentation.
- Perform portfolio segmentation analysis to identify risk, behavioural, and profitability trends across customer cohorts.
Credit Risk & Analytics
- Develop, enhance, and monitor decisioning frameworks used in underwriting and originations.
- Monitor key origination and early-life performance metrics (e.g. approval rates, bad rates, roll rates, vintage performance).
- Conduct scenario analysis and stress testing to assess the impact of strategy changes on portfolio risk and returns.
Data Preparation and Feature Engineering
- Clean and preprocess raw credit data.
- Create relevant features for credit risk modelling.
- Sourcing, consolidating and analysing large data sets, utilizing strong programming skills and identifying anomalies/trends.
Risk Governance & Stakeholder Collaboration
- Work closely with cross-functional stakeholders to embed originations strategies into systems, processes, and operational workflows.
- Support governance forums by preparing insights, recommendations, and performance reporting on underwriting and originations outcomes.
- Contribute to the ongoing refinement of risk appetite, lending standards, and credit risk frameworks.
Skills & Experience
- Strong experience in credit risk analytics, underwriting, or originations strategy, ideally within retail consumer or SME lending.
- Advanced quantitative and analytical skills, including experience with scorecards, policy rules, pricing, and limit strategies.
- Proven ability to translate complex analysis into clear, commercially focused recommendations.
- Comfortable working across strategy, analytics, and operational decisioning in a fast-paced environment.
ROLE REQUIREMENTS
- Bachelor’s degree in Statistics, Mathematics, or related fields.
- 2 - 4 years' experience in Financial Services.
- Minimum 2 years’ experience working in a retail credit risk analysis role understanding the entire retail credit risk lifecycle such as originations, collections, regulatory capital and IFRS 9.
- Proficiency in programming languages (e.g., SAS, Python) and machine learning experience is advantageous.
Skills
Action Planning, Analytics Software, Budget Management, Business Intelligence (BI) Analysis, Computer Literacy, Data Analysis, Data Compilation, Data Controls, Data Interpretations, Data Modeling, Evaluating Information, Numerical Aptitude, Report Review, Solution Analysis, Statistical Analysis Techniques
Competencies
Business Insight
Cultivates Innovation
Manages Complexity
Optimizes Work Processes
Situational Adaptability
Strategic Mindset
Education
Closing Date
02 May 2026 , 23:59
The appointment will be made from the designated group in line with the Employment Equity Plan of Old Mutual South Africa and the specific business unit in question.
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