architecture and requirements collaboratively Craft data models and schemas tailored to meet business objectives frameworks like Snowflake, Databricks, or Apache Spark Hands-on experience with cloud-based data platforms (AWS data architecture principles Expertise in data modelling and database design Understanding of data governance
Experience Application Support & Maintenance Hands-on experience in AGILE Methodology Siebel Financial Scripting, Workflows etc Understanding of Siebel Data Models and Architecture Experience in doing bulk SQL Updates
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
context of business intelligence. Design and map data models to shift raw data into meaningful insights. Utilize multi-dimensional data models Develop strong data documentation about algorithms, parameters, models Perform detailed
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
BI (Including, but not limited to Ingestion, Modelling, Transformations and
IBM InfoSphere MDM, or equivalent Implement data models, hierarchies, and relationships to support business development, data integration, or related roles, with hands-on experience in MDM platforms Proficiency in MDM similar platforms Strong understanding of data modeling, data quality management, and data governance
consumers