Actuarial Specialist, IFRS17

  • 38503
  • Life - Actuarial
  • |
  • Singapore
  • |
  • Nov 4, 2020
Insurance
RESPONSIBILITIES
  • Perform data availability assessment and document the findings.
  • Determine the transition approach based on the regional guidance.
  • Work with modelling team to form a detailed model structure and create historical models for transition.
  • Prepare the data including model, model points and assumptions in an auditable manner for transition runs.
  • Assess the use of estimates and recommend the approach to create such estimates to achieve a desirable financial outcome.
  • Participate in transition tool build for the opening CSM calculations.
  • Perform model runs and financial analysis of the results for the opening CSM balance.
  • Produce the opening balance sheet and its documentation in an auditable standard.
  • Review and provide feedback to the regional deliverables for solution design & build that affect Actuarial.
  • Act as actuarial advisor in local solution design & build.
  • Support the development of data and system specifications for IFRS17.
  • Support IT on source system enhancement based on the detailed data gap analysis.
  • Provide actuarial support to IT in building the end-to-end ETL tools.
  • Participate in UAT for ETL tools, source system changes and sub-ledger system.
  • Drive the development and implementation the new end-to-end reporting process and control for Actuarial.
  • Provide actuarial support to the Finance division initiative on reporting process re-engineering.
QUALIFICATIONS
  • Passionate about financial reporting.
  • Motivated and pro-active.
  • Detailed oriented and work independently.
  • Strong technical and analytical skills.
  • Committed to excellence and always strive to deliver results with high standards.
  • Good understanding of insurance products.
  • Good working knowledge of Prophet Systems and valuation data management program is a plus.
  • 2 - 5 years of actuarial experience or any other analytical role.
  • Actuarial qualification is preferred but not necessary.
  • Degree in Actuarial, Mathematics, Statistics or Finance.