stakeholders.
senior stakeholders. Develop scenarios, navigation models and prototypes for demonstration of concepts. Maintain ideas through drawing, digital tools, prototyping, model making etc. (2) years' experience conducting audience ideas through drawing, digital tools, prototyping, model making etc. (2) years' experience in each of the
regulatory and economic capital models Development and maintenance of actuarial models ORSA and Risk Appetite
regulatory and economic capital models Development and maintenance of actuarial models ORSA and Risk Appetite
Business Reporting
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
Certificate or can develop machine learning (ML) models and automate ML pipelines. Minimum Experience : client engagements but may include: • Creating data models that can be used to extract information from various and have a strong understanding of ETL and data modelling. • Ability to ingest data into AWS S3, perform Cloud Platform. • A strong understanding of data modelling, data structures, databases, and ETL processes
the BI team in designing and implementing data models, dashboards, and reports.
Collaborate with
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