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Old MutualPosted 1 week ago

OM Bank - Credit Quantitative Analyst

On-siteJohannesburg, Gauteng, South Africa or Pinelands, KwaZulu-Natal, South Africa

Full TimeEnterpriseFINANCE

Job Summary

Develop and monitor credit risk models, scorecards, and strategies while analyzing portfolio performance and customer behavior. Support credit origination decision analytics, risk-based pricing, and profitability analysis across secured lending portfolios including Home Loans and Asset Vehicle Finance. Monitor impairment drivers, ECL outputs, and IFRS 9 exposure where required, alongside performing back-testing and validation activities. Produce credit risk and management reporting, develop insights from large datasets, and present findings to technical and non-technical stakeholders. Work closely with Credit Risk, Product, Finance, and Operations teams to drive model governance and continuous improvement initiatives.

Required Qualifications

  • Bachelor's degree in Statistics, Mathematics, Actuarial Science, Economics, Finance, Data Science or a related quantitative discipline
  • 2–5 years' experience in credit risk, portfolio analytics, quantitative modelling or a related analytical role
  • Experience in credit risk, portfolio analytics, quantitative analysis or data analytics
  • Experience using SQL, Python, SAS, R, Power BI or similar tools
  • Strong analytical, problem-solving and communication skills
  • Technical Credit risk modelling and portfolio analytics
  • Statistical and quantitative analysis techniques
  • Exposure to scorecard development, monitoring or validation
  • Data extraction, manipulation and analysis using SQL, Python, SAS, R or equivalent tools
  • Data visualisation and reporting using Power BI, Excel or similar technologies
  • Understanding of pricing, origination and portfolio performance metrics
  • Technical documentation and analytical reporting skills
  • 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
  • Strategic Understands broader portfolio, customer and market trends
  • Demonstrates curiosity and commercial awareness when assessing business opportunities and risks
  • Decision-Making Ability Uses data and evidence to support recommendations
  • Applies sound judgement when analysing trends, risks and model outputs
  • Escalates risks, issues and anomalies appropriately
  • Analytical & Risk Mindset Strong numerical and analytical capability
  • Uses data to identify trends, opportunities and risks
  • Applies quantitative techniques to solve business and portfolio challenges
  • Demonstrates an appreciation for balancing risk, growth and profitability
  • Collaboration (Relating) Builds positive relationships across multiple teams and functions
  • Communicates analytical information effectively to technical and non-technical stakeholders
  • Works effectively within a team environment and contributes to shared goals
  • Customer First Supports responsible lending and sustainable customer outcomes
  • Considers the impact of analytical recommendations on customers and portfolio performance
  • Balances commercial objectives with prudent risk management
  • Innovation (Perspective) Demonstrates curiosity and continuous improvement thinking
  • Looks for opportunities to improve models, reporting and analytical processes
  • Embraces new methodologies, tools and technologies
  • Personal Mastery (Learning) Demonstrates resilience, adaptability and accountability
  • Actively seeks learning opportunities and feedback
  • Shows commitment to developing quantitative, technical and business skill
  • NQF Level 7 - Degree, Advance Diploma or Postgraduate Certificate or equivalent

Desired Qualifications

  • Knowledge of secured lending products, particularly HL and AVAF, would be advantageous
  • IFRS 9 and impairment experience beneficial but not required
  • Exposure to credit modelling, scorecards, pricing or originations analytics
  • Basic understanding of IFRS 9, PD, EAD and LGD concepts would be advantageous
  • While impairment and IFRS 9 exposure would be advantageous

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