Job title : Senior Model Data & Implementation Analyst
Job Location : Gauteng, Johannesburg
Deadline : November 30, 2025
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Job Summary
The Senior Model data and implementation analyst is responsible to lead, influence, manage and improve the in the end-to-end life cycle of modelling data and implementation processes through interaction with internal and external stakeholders. A key objective of the role is to develop and mentor technical abilities within Model Implementation to ensure compliance to regulatory requirements as well as other internal policies and governance practices.Furthermore, the role’s purpose is performing, designing and testing tasks, while also be closely involved in the analyses, construction, enhancement and documentation of modelling data and implementation processes.During the implementation phase, the role will be tasked to facilitate correct model use embedment within credit.Job Description
Key Accountabilities
Accountability : Modelling data and implementation processes / solutions (45%)
Investigate best practice and industry trends applicable to the specific Model data and Implementation areaResearch and adhere to model implementation standards as well as other relevant policies and standards.Manage certain, predefined tasks to give effect to the controls within the modelling data and implementation environment.Manage and perform investigative and analyses tasks identifying modelling data in the warehouse and authoritative sources.Design, manage and perform modelling data preparation processes.Investigate and influence different methods and approaches to use during modelling data preparation.Analyse model build documentation and other modelling artefacts to understand, investigate, analyse and challenge modelling data requirements.Assist model owners and credit model stakeholders to use the models correctly by providing model use guidance and training.Escalate delays to line manager and / or relevant stakeholders.Present findings, designs documentation and other modelling data implementation documentation to both internal and external stakeholders.Facilitate model embedment into credit operational processes ensuring correct model usage.Review & understand credit policies and model usage.Communicate clearly with other support teams to ensure timely delivery of projectsConduct modelling data testing and data quality assessment within the modelling context to provide assurance that the modelling data is fit for purpose.Create model implementation and control documentation (specifically implementation sign-off document and post implementation review document)Develop and test model implementation code and artefacts.Manage time across multiple initiatives. Accountability : Stakeholder management (30%) :
Clearly communicate progress, results of investigations and other tasks to line manager and / or initiative lead.Escalate delays to line manager and / or initiative lead.Present findings, designs documentation and other modelling data implementation documentation to line manager and / or internal stakeholders. Accountability : Governance and Adherence (10%)
Ensure model compliance with Absa Group Policies and Standards by staying updated with changes and ensuring that new model developments always adhere to the Policies and Standards.Notify management in case any non-adherence to Policies and Standards are identified. Participate in discussions aimed to resolve these gaps. Accountability : People Management (15%)
Contribute to the development of a high-performance culture within the team, while maintaining integrity.Lead by example, driving excellence.Participate in planning, resource allocation, training, and team-building functions.Role / Person Specification
Education and Experience Required
Minimum B-degree in Quantitative Modelling and / or Computer Science (NQF level no. 7) preferredMinimum 3-4 years’ experience preferredPractical data / programming courses. Knowledge & Skills :
Knowledge of Data warehousing, Data bases and data structuresKnowledge of Retail lending, including principles of risk management.Quantitative and analytical thinkingKnowledge of modelling and statisticsAdvanced data analysis and problem-solving skills.Knowledge of data manipulation. Competencies :
Deciding and initiating action.Learning and researching.Entrepreneurial and commercial thinking.Relating and networking.Adapting and responding to change.Persuading and influencing.Creating and innovating.Education
Bachelor`s Degrees and Advanced Diplomas : Business, Commerce and Management Studies (Required)End Date : October 29, 2025
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