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.
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.
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.
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Senior Data Analyst • Johannesburg, Gauteng, South Africa