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:
problem-solving skills, with the ability to analyze data and make data-driven decisions. Proficiency in logistics
problem-solving skills, with the ability to analyze data and make data-driven decisions. Proficiency in logistics
to identify areas for improvement Analyze quality data and metrics to identify trends and patterns Collaborate
to identify areas for improvement Analyze quality data and metrics to identify trends and patterns Collaborate
entry level of proficiency in financial modeling and data analysis and last but not certainly least Good Attitude
and timelines for engineering projects Analyze data and performance metrics to identify areas for improvement
quality parameters, metal accounting, and performance data collating. Ensure adherence to the company's Health
structuring Perform actuarial/statistical analyses on data Ad-hoc actuarial projects Requirements: Making good