expertise in optimising database performance, ensuring data security, and implementing best practices in Microsoft efficiency. 3. Data Security: Implement robust security measures to protect sensitive data, including access and auditing mechanisms, ensuring compliance with data protection regulations. 4. Best Practices Implementation: maintenance, ensuring scalability, reliability, and data integrity. 5. Backup and Recovery: Develop and maintain maintain backup and recovery strategies to minimise data loss and downtime in case of system failures or
and reconciling of company's investment accounting data. Conduct asset manager due diligence exercises and Compile data received from asset managers for reporting to Senior Investment Manager. Reconcile data received Investment Manager for the actuarial team. Populate data received from Actuarial department on market performance Consolidating, monitoring, and analysing investment data. Reporting on company's investment portfolio and Statutory Reporting Daily Compilation of Asset managers data and calculation of Assets Under Management (AUM)
and reconciling of company's investment accounting data. Conduct asset manager due diligence exercises and Compile data received from asset managers for reporting to Senior Investment Manager. Reconcile data received Investment Manager for the actuarial team. Populate data received from Actuarial department on market performance Consolidating, monitoring, and analysing investment data. Reporting on company's investment portfolio and Statutory Reporting Daily Compilation of Asset managers data and calculation of Assets Under Management (AUM)
relevant industrial and commercial experience with a Data Center Infrastructure skill set.
Investigations: Analyse policyholder experience data to assess mortality, lapse, and other key assumptions requirements. Data: Perform regular data reconciliation exercises to ensure consistency and accuracy of data used discrepancies or inconsistencies in data sources to maintain data integrity. Sales Channel Support: Provide intervention. Identify opportunities for automation in data processing, modelling and reporting. Requirements:
Investigations: Analyse policyholder experience data to assess mortality, lapse, and other key assumptions requirements. Data: Perform regular data reconciliation exercises to ensure consistency and accuracy of data used discrepancies or inconsistencies in data sources to maintain data integrity. Sales Channel Support: Provide intervention. Identify opportunities for automation in data processing, modelling and reporting. Requirements:
procedures
· Should be well versed on data investigation/data analysis
· Ability to explain functional
Chain Systems, you would need to understand all Data in the ERP System and what they entail)
templates and master data in AIsystems. Managing the library of templates and master data in AI systems. Analyzing Analyzing document mismatch data and identifying unknown or incorrect master data. Assisting in testing changes
time Be on call and standby after hours and / or weekends Skill Level: Professionally Qualified Willing