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
Job Purpose To develop and maintain best practice models and assessment strategies in line with regulations expectations by liaising with stakeholders through the model build process as well as the systems and strategy interacting with external bodies. The challenge model builds from around the cluster through peer review Seek opportunities to improve business processes; models and systems by identifying and recommending effective action where risk is identified in any processes; models or reporting; through analysis and formal communication
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
Data consumers transform data to a common data model for reporting and data analysis, and to provide Bricks) Data Modelling and Schema Build: In collaboration with Data Modelers, create data models and database Collaborate with Data Analysts, Software Engineers, Data Modelers, Data Scientists' Scrum Masers and Data Warehouse Programming (Python, Java, SQL) Data Analysis and Data Modelling Data Pipelines and ETL tools (Ab Initio, ADB,
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
Strong understanding of CRM data models, workflows, security models, and APIs. Experience with web development
Lead Automation Engineer Location: Sandton Working Model is Hybrid Required Experience as follows: ISTQB
and other database schema objects. Maintain data model schema within the data warehouse and reporting systems
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