Senior Model Data & Implementation Analyst at Absa Group Limited (Absa)

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 area
• Research 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 projects
• Conduct 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) preferred
• Minimum 3-4 years’ experience preferred
• Practical data / programming courses.

​​​​​​​Knowledge & Skills:

• Knowledge of Data warehousing, Data bases and data structures
• Knowledge of Retail lending, including principles of risk management.
• Quantitative and analytical thinking
• Knowledge of modelling and statistics
• Advanced 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