Investments 4. Retail 5. Telecommunication Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
will be doing:
Investments 4. Retail 5. Telecommunication Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
machine learning, statistical and mathematical models to solve business problems and enable the effective data by utilising cutting-edge technologies and model data preparation.
Responsibilities:
Reporting) Support
creating data flow diagrams (DFDs), defining data models, ensuring data lineage, and implementing data governance development with a focus on data lineage, data modeling, and data flow design. Proven experience with in creating data flow diagrams (DFDs) and data models.
Responsibilities:
he Data and BI Analyst will be assisting the modelling and analytics team with all analytics, reporting business on key business metrics and assist the modelling team to drive strategic decision-making and better enable quantitative analysis for statistical and modelling team. Explore data to understand its structure trends, and correlations. Design and build data models, dashboards, and reports using business intelligence
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