Data Scientist III - FNB South Africa


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First National Bank IT / Telecom Jobs in Johannesburg


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Key Responsibilities: 

Model Development

  • Design, develop, and implement IFRS 9-compliant models for Expected Credit Loss (ECL), including Probability of Default (PD), Loss Given Default (LGD), Significant Increase in Credit Risk (SICR), forward-looking models (FLI), and Exposure at Default (EAD).
  • Ensure models align with broader African countries' regulatory requirements and internal risk policies.
  • Utilise statistical and econometric techniques to build robust, predictive models.
  • Incorporate macroeconomic variables and forward-looking information into models.


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Model Validation

  • Conduct rigorous validation of IFRS 9 models to ensure accuracy, reliability, and compliance.
  • Include actuals vs expected, population stability of the model variables, Gini of the model and the like.
  • Perform sensitivity analysis, stress testing, and back-testing of models.
  • Address model deficiencies and implement enhancements as needed.

Model Monitoring

  • Establish and maintain ongoing monitoring frameworks to assess model performance.
  • Identify and report model drift, recalibration needs, or performance issues.
  • Ensure timely updates to models in response to changes in economic conditions or regulatory guidelines.

Stakeholder Engagement

  • Present model methodologies, validation results, and performance metrics to the Technical Committee and other governance forums.
  • Engage internal and external auditors on topics related to broader Africa models.
  • Communicate complex technical concepts to non-technical stakeholders clearly and effectively.
  • Collaborate with internal teams (e.g., Risk, Finance, Audit) and external stakeholders (e.g., regulators, auditors).

Team Management

  • Manage, mentor, and develop two junior model developers, providing technical guidance and fostering professional growth.
  • Set clear objectives, conduct performance reviews, and ensure alignment with departmental goals.
  • Promote a collaborative and innovative team culture.
  • Regulatory and Compliance Oversight
  • Stay updated on IFRS 9, Basel, and other relevant regulatory changes impacting model development.
  • Ensure all models and processes comply with internal governance and external regulatory standards.
  • Support audits and regulatory inspections by providing documentation and technical expertise.


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You will be an ideal candidate if you have: 

  • Minimum of 3 years of experience in credit risk modelling, with expertise in scoring, IFRS 9 ECL, Basel models, or related quantitative modelling.  
  • Strong knowledge of statistical modelling techniques, including Logistic Regression, Probability of Default (PD), Exposure at Default (EAD), Loss Given Default (LGD), and Survival Analysis.  
  • Proven ability to engage with auditors and explain complex technical concepts clearly and concisely.  
  • Experience with model calibration, validation, monitoring, and stress testing processes.  
  • Proficiency in programming languages/tools such as Python, R, SAS, or SQL is advantageous.  
  • Excellent analytical skills and attention to detail.  
  • Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:  

  • Advanced degree (e.g., master’s or PhD) in Statistics, Mathematics, Data Science, or a related field.  
  • Prior experience in financial services or banking, particularly in credit risk.  
  • Familiarity with Basel III/IV frameworks and their application to credit risk modelling.

You will have access to: 

  • Opportunities to network and collaborate.
  • Challenging Working
  • Opportunities to innovate.


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We can be a match if you are:  

  • Curious & courageous - you are driven by always wanting to know more and learn more and you are brave enough to
  • Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it.

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