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Credit Model Technician

Job in Johannesburg, 2000, South Africa
Listing for: Tipp Focus (Pty) Ltd
Full Time position
Listed on 2026-02-03
Job specializations:
  • Finance & Banking
    Banking Analyst, Risk Manager/Analyst
Job Description & How to Apply Below

Overview

The Credit Model Technician is responsible for developing, maintaining and enhancing Credit Risk Models and tools that support the Credit Lab's analytical, pricing, and risk management functions. The role ensures the accuracy, reliability and compliance of credit risk models while enabling effective decision-making across business and operational divisions. The incumbent collaborates closely with risk, credit, data, and systems teams to ensure seamless integration of models into credit systems and processes.

Responsibilities
  • Maintain, enhance and troubleshoot existing credit risk models and tools.
  • Develop business cases for new credit risk models for submission to the Risk Models Technical Committee.
  • Prepare detailed technical specifications for the development of credit risk models.
  • Design, develop and test credit risk models and risk measurement tools.
  • Support external consultants and internal credit model developers in developing and refining credit risk models.
  • Provide technical advice on model development methodologies, assumptions and design.
Minimum Qualifications
  • A Bachelor s Degree in Informatics, Mathematics, Risk Management, Accounting, Statistics, Actuarial Science, Finance or a related field.
Minimum Experience
  • A minimum of 5 years  experience in developing credit models and tools, statistical modelling and validation in a credit risk management environment.
  • Experience in credit management in the banking and/or financial services sectors.
  • Good knowledge of data management.
  • In-depth knowledge of credit rating methodologies.
  • Exposure to credit risk systems, data warehousing or model implementation environments.
  • In-depth knowledge of Basel II/III, IFRS 9 and other credit risk regulatory frameworks.
  • Demonstrated ability to programme data solutions in SQL, SAS, Python, R, Power BI or similar modelling and analytics tools.
Desired Skills
  • Analytical Thinking
  • Attention to detail
  • Integrity
  • Strategic and Innovative Thinking
  • Driving Delivery of Results
Desired Work Experience
  • 5 to 10 years
Desired Qualification Level
  • Degree
About The Employer

Credit Lab Data Warehouse

Additional Responsibilities
  • Use credit and portfolio data for developing and maintaining credit risk models.
  • Validate accuracy and completeness of data flows between models, systems and data sources.
  • Perform data quality checks and identify data anomalies ahead of model use.
  • Credit System Platform — Support the Credit System Architect to design, build and maintain the platform used to house credit risk models and tools.
  • Provide technical and user support for all credit risk tools implemented on the platform.
  • Develop and maintain user manuals, technical documentation and process guides.
  • Support implementation, testing and training of credit systems and modelling tools.
  • Credit Risk Pricing and Rating — Support the Credit Lab Manager in the activities of the Pricing Working Group.
  • Validate credit ratings, PDs, LGDs and related risk metrics used within the pricing model.
  • Conduct review and testing of model outputs to ensure consistency with pricing requirements.
  • Validate data inputs and information used in credit rating and risk assessment models.
  • Test and verify standardised outputs from credit rating models are complete, accurate and reliable.
  • Liaise with Credit Officers, Investment Officers, Technical Experts and Portfolio Officers to ensure consistency and integrity of rating information.
  • Governance and Reporting — Prepare submissions for the Technical Committee relating to model development, validation and maintenance.
  • Ensure compliance with scheduled model maintenance cycles and governance requirements.
  • Demonstrate model performance over time and highlight emerging issues or trends.
  • Provide well-reasoned responses to questions and challenges raised by the Committee.
  • Produce accurate and insightful analyses and reports that support credit and risk decision-making.
  • Ensure reliability and traceability of data used in all reporting.
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