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.
the development and implementation of actuarial models, and collaborating with cross-functional teams regulatory requirements. Modelling and Coding: Develop and maintain actuarial models to analyse and forecast skills to enhance efficiency and accuracy in modelling processes. IFRS17 Reporting: Assist in the implementation consistency and accuracy of data used in actuarial models and financial reporting. Identify and resolve discrepancies opportunities for automation in data processing, modelling and reporting. Requirements: Bachelor's degree
the development and implementation of actuarial models, and collaborating with cross-functional teams regulatory requirements. Modelling and Coding: Develop and maintain actuarial models to analyse and forecast skills to enhance efficiency and accuracy in modelling processes. IFRS17 Reporting: Assist in the implementation consistency and accuracy of data used in actuarial models and financial reporting. Identify and resolve discrepancies opportunities for automation in data processing, modelling and reporting. Requirements: Bachelor's degree
architecture and requirements collaboratively Craft data models and schemas tailored to meet business objectives data architecture principles Expertise in data modelling and database design Understanding of data governance
support high performing ML algorithms, predictive models and support real-time data visualisation requirements methodology. Knowledge of retail industry data models. Advanced knowledge of compliance and IT governance Stakeholder Management. Data Architecture, Data Modelling and Data Pipelining. Solutions Architecture. ATTRIBUTES:
functions) Knowledge and experience of data warehouse modelling methodologies Experience in using MS SSIS and designing solutions and good knowledge of data modelling concepts Experience of working in a team following
and also perform test execution as required. Modelling business problems as entity relationships. Creating Adept in the use of spreadsheets. Capable of modelling information and scenario analysis. Market related
BI and AI Development Life Cycles
Data, BI and AI Development Life Cycles Data modelling Solution architecture principles and artefacts : Banking systems environment Banking business model Best practices for Quality Assurance (QA) Skills
literate ArcGIS software Access Experience using Model Builder to automate tasks within ArchMap Understanding