documenting and enhancing a range of predictive models across the entire credit life cycle. Responsibilities: in the development and application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques. Monitor and Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming Understanding & knowledge of predictive modelling practices, performance standards & methodologies
BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) and predictions. Aid in creating internal audit models and reports to identify risks and risk areas Identify Documentation up to date and the maintenance of semantic models Qualifications: Grade 12/Senior Certificate Tertiary BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) and predictions. Aid in creating internal audit models and reports to identify risks and risk areas Identify
business requirements, through a structured process, modeling, validating and translating it into business requirement contract subject to renewal in a hybrid working model Business Analysis: Investigate operational requirements requirements . Negotiate acceptance criteria. Plan own modelling activities, selecting appropriate techniques and choice of the modelling approach to be used Obtain input from and communicates modelling results to senior all levels of the organisation Business Process Modelling/Engineering based on BPMN Business writing skills
Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required
and Datawarehouse Architecture development Data modelling including solid ETL, designing and building packages Warehousing / BI Development Experience with data modeling, data anlaysis, data profiling, data mapping and
responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS SKILLS REQUIREMENTS: experience Architecture: Cloud, On-prem, hybrid, data modelling, SW-Architecture QUALIFICATIONS / EXPERIENCE NEEDED:
KPAs: Analytical Modeling: Translate business requirements into suitable analytical models, extracting trends to address short-term insurance metrics. Present model functionality to relevant stakeholders upon request oversee user-acceptance testing of Data Visualisation models. Administer the business intelligence management analytics reports, extracting insights from BI models for stakeholders. Stakeholder Engagement: Build
predictive models. Increase the profitability and efficiency of business units using predictive models and BI Experience in developing and implementing predictive models. Strong communication and presentation skills.
Experience in developing and implementing predictive models. KPA's: Acquire business insights from diverse and effectiveness. Design and execute predictive models to anticipate future trends and outcomes. Drive within targeted business units through predictive modeling and BI reporting. Streamline operations within
BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) and predictions. - Aid in creating internal audit models and reports to identify risks and risk areas - Documentation up to date and the maintenance of semantic model R 1000 - R 1001 - Annually