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Data Scientist III_ IFRS 9 Model Provisions Production Specialist at FNB South Africa

  • Job Type Full Time
  • Qualification Bachelors , Masters
  • Experience 4 – 7 years
  • Location Gauteng
  • City Johannesburg
  • Job Field Data, Business Analysis and AI&nbsp , Finance / Accounting / Audit&nbsp , ICT / Computer&nbsp

Data Scientist III_ IFRS 9 Model Provisions Production Specialist at FNB South Africa

Data Scientist III_ IFRS 9 Model Provisions Production Specialist

Job Description

  • The IFRS 9 Model Provisions Production Specialist will oversee the production and management of Expected Credit Loss (ECL) provisions across seven African countries, ensuring compliance with IFRS 9 standards.
  • The role requires deep expertise in SAS coding, data analysis, and credit risk modelling, with a focus on retail and commercial portfolios.
  • The specialist will drive automation, enhance reporting, and provide technical and advisory support to in-country teams to mature ECL frameworks.

Are you someone who can:

  • Model Execution and Analysis: Execute monthly IFRS 9 model runs for ECL calculations across retail and commercial portfolios, Substantiate movements in model outputs, including Probability of Default (PD), Forward-Looking Information (FLI), Exposure at Default (EAD), Loss Given Default (LGD), and Significant Increase in Credit Risk (SICR) parameters, Analyse and explain coverage ratio movements across IFRS 9 stages (Stage 1, Stage 2, Stage 3) and assess and understand the impact of collections and arrears trends on IFRS 9 impairments.
  • Financial Reporting and Commentary: Substantiate provisions movements and assist in preparing finance commentary for internal and external stakeholders, Support finance reporting, including Schedule 24, Fair Value, Modifications, and Effective Interest Rate (EIR) calculations and provide insights into income statement provisions, including performing/non-performing loans, write-offs, and recoveries.
  • Process Improvement and Automation: Enhance automation of ECL calculations and reporting processes to improve efficiency and accuracy, Lead and contribute to the IFRS 9 model automation journey and other ECL-related automation initiatives and identify and implement improvements in watchlist engagement processes with in-country teams.
  • Stakeholder Engagement and Support: Participate in in-country provisions committee meetings to provide technical expertise and insights, assist countries in maturing their ECL frameworks, ensuring alignment with IFRS 9 standards and Support in-country teams during internal and external audits, ensuring compliance and addressing audit queries.
  • Technical Expertise: Leverage deep knowledge of SAS coding and data analytics to develop, maintain, and troubleshoot IFRS 9 models and wide knowledge of credit risk, ensure robust data governance and quality in model inputs and outputs and Provide technical guidance on IFRS 9 methodologies and parameter estimation to in-country teams during budgeting, forecasting and stress testing.

You will be an ideal candidate if you have:

  • Education: Bachelor’s degree in finance, Actuarial Science, Statistics, Mathematics, or a related field. Advanced qualifications (e.g., CFA, FRM, or master’s degree) are advantageous.
  • Experience: Minimum of 4-7 years of experience in credit risk modelling, IFRS 9 implementation, or ECL provisions production, Proven expertise in SAS programming for data analysis and model development, Experience in retail and commercial banking environments, preferably in an African context, Familiarity with financial reporting standards (e.g., Schedule 24, Fair Value, EIR) and Prior involvement in audit processes and provisions committee engagements.
  • Technical Skills: Advanced proficiency in SAS (essential) for data manipulation, model execution, and reporting, Strong understanding of IFRS 9 principles (PD, LGD, EAD, SICR, FLI), Knowledge of credit risk metrics, arrears trends, and their impact on impairments, Experience with automation tools and processes for ECL calculations and Familiarity with income statement dynamics (performing/non-performing loans, write-offs, recoveries).
  • Soft Skills: Strong analytical and problem-solving skills, Excellent communication skills for presenting complex technical concepts to non-technical stakeholders, Ability to work collaboratively across multiple countries and cultures and Proactive, detail-oriented, and able to manage multiple priorities in a fast-paced environment.

You will have access to:

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

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.

End Date: September 4, 2025

Method of Application

Interested and qualified? Go to FNB South Africa on firstrand.wd3.myworkdayjobs.com to apply

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