Setting Up Your First Employee Data Census for the Actuary

The Foundation of the Valuation

When a Middle Eastern enterprise commissions its first-ever IAS 19 actuarial valuation, the consulting actuary will issue an intimidatingly blank "Data Request Template."

The quality of the End-of-Service Gratuity (EOSG) valuation is entirely dependent on the integrity of this employee data census. A valuation based on corrupted or incomplete HR data will generate a mathematically flawless, but entirely fictional, liability.

Moving Beyond the Payroll Dump

Many HR departments simply export their month-end payroll file and send it to the actuary. A payroll file is fundamentally inadequate for IAS 19 modeling. It lacks the historical depth and structural nuance required to project long-term demographic trajectories.

To establish a defensible baseline, HR and Finance must collaborate to construct a master census encompassing the following critical dimensions:

1. The Exact Valuation Base Salary: Do not accidentally provide "Gross Salary." Your data must isolate the exact "Basic Salary" as defined by local Labor Law, plus any specific fixed allowances that your corporate policy incorporates into the severance calculation.
2. Date of Birth vs. Date of Joining: Actuaries cannot model mortality or retirement probabilities without exact ages. Providing only "years of service" destroys the ability to build accurate long-term decrement tables.
3. The Unvested Cohort: You must include every single employee on the payroll as of the valuation date, including new hires who are still in their probationary period and have not yet vested in the EOSG scheme.
4. Historical Termination Logs (Minimum 3 Years): To build a bespoke withdrawal (turnover) assumption, the actuary needs a historical dataset showing not just *how many* people left in the past three years, but *who* left (their age, tenure, and reason for leaving: death, resignation, or termination).

Submitting a flawless, zero-defect data census on Day 1 is the single most effective way a CFO can compress the timeline and reduce the consulting fees associated with an initial IFRS transition.