Key Takeaways
- How to evaluate the actuarial assumptions that drive the largest movements in defined benefit obligations under IAS 19.75 through IAS 19.98
- How to apply ISA 500.A34 to assess the actuary as management’s expert without becoming an actuary yourself
- How to test the IAS 19.120 through IAS 19.152 disclosure requirements that reviewers check first
- What to do when the actuary’s discount rate deviates from the observable yield curve
Why pension audits are higher risk than most teams assume
Defined benefit pension obligations sit on the balance sheet at a single number that depends entirely on assumptions about the future. Unlike a trade receivable or a bank balance, you can’t confirm the number with a third party and get a definitive answer. The obligation is an estimate, and under ISA 540.13, you must identify and assess the risks of material misstatement for accounting estimates by understanding how management made the estimate and the data on which it was based.
For most non-Big 4 engagements with pension exposure, the defined benefit obligation (DBO) runs between €2M and €50M. At the lower end, it may sit just above performance materiality. At the upper end, it can represent 15% to 30% of total liabilities. A 50 basis point change in the discount rate on a €20M obligation shifts the DBO by roughly €1.5M to €2.5M depending on the duration of the obligation and the age profile of the members.
That kind of sensitivity means the discount rate alone can swing the obligation by more than performance materiality on most engagements in this range.
IAS 19.76 lists the actuarial assumptions that the client must determine. Paragraph 76 divides them into demographic assumptions (mortality, employee turnover, disability rates) and financial assumptions (discount rate, future salary increases, medical cost trends). In practice, on a European non-Big 4 engagement, the financial assumptions do the heavy lifting. Mortality tables are standardised in most jurisdictions: the AG Prognosetafel 2024 in the Netherlands and the Heubeck tables in Germany. The financial assumptions are where judgment enters, and where your audit procedures need to concentrate.
The distinction between defined benefit and defined contribution
IAS 19.8 defines a defined contribution plan as one where the client pays fixed contributions into a separate entity and has no legal or constructive obligation to pay further amounts. Everything else is, by definition, a defined benefit plan. This distinction matters because some clients with industry pension funds in the Netherlands (bedrijfstakpensioenfondsen) treat their plans as defined contribution when they are, strictly, defined benefit under IAS 19.
IAS 19.34 provides a practical exemption. Where a multi-employer plan is a defined benefit plan but the client cannot obtain sufficient information to apply defined benefit accounting, the client accounts for the plan as if it were a defined contribution plan. Most Dutch clients with bedrijfstakpensioenfonds participation rely on this exemption. Your audit work is to confirm that the exemption applies: verify the plan is genuinely multi-employer, confirm the client cannot obtain the individual allocation of plan assets and obligations, and document the basis for the defined contribution treatment. If the exemption doesn’t hold, you need a full defined benefit calculation, and that’s a conversation to have at planning, not at completion.
The assumptions that actually move the number
Discount rate under IAS 19.83
IAS 19.83 requires the discount rate to be determined by reference to market yields on high-quality corporate bonds at the reporting date. In the eurozone, this typically means AA-rated corporate bonds with a duration matching the estimated duration of the pension obligation. For countries without a deep market in such bonds, IAS 19.84 permits the use of government bond yields instead.
This creates a testable audit assertion. The actuary’s report states a discount rate. You can check that rate against published yield curve data from Aon, Willis Towers Watson, or Mercer, all of which publish reference discount rates for European pension obligations at year-end. If the client’s actuary uses 3.25% and the published range for the relevant duration bucket is 3.10% to 3.40%, the rate is supportable. If the actuary uses 2.80% with no explanation for the deviation, you have a finding.
Duration matters more than most teams appreciate. A pension plan with a weighted average member age of 45 will have a longer duration (often 18 to 22 years) than one with a weighted average age of 58 (perhaps 10 to 14 years). Longer duration means greater sensitivity to the discount rate and a different point on the yield curve. You need the actuary’s duration estimate and the corresponding yield at that point on the curve, not just a single number compared to a headline rate.
The ciferi Financial Ratio Calculator can help you assess how the pension liability’s sensitivity to discount rate changes affects the client’s key solvency ratios at planning.
Salary growth rate
IAS 19.87 requires salary increase assumptions to reflect inflation, seniority, promotion, and other relevant factors. On a Dutch engagement, you’re looking at the collective labour agreement (CAO) for the sector, the client’s historical salary increases, and the inflation forecast from De Nederlandsche Bank or the ECB.
The audit test is comparison. If the CAO stipulates 3.5% increases for the next two years and the actuary assumes 2.0%, there’s an unexplained gap. If the client has given 4% increases in each of the last four years and the actuary assumes 2.5% going forward, you need a documented reason for the break in trend.
Be aware that the salary growth assumption interacts with the discount rate. Both affect the projected benefit obligation, and an optimistic salary assumption partially offsets a high discount rate. Test them together, not in isolation. An actuary who uses a discount rate 20 basis points above the market midpoint while simultaneously setting salary growth 50 basis points below the CAO is creating a compound understatement. Neither assumption may be unreasonable on its own. Together, they systematically reduce the DBO.
Mortality assumptions
In the Netherlands, the standard mortality table is the AG Prognosetafel, published by the Koninklijk Actuarieel Genootschap. Germany uses the Heubeck Richttafeln. These tables include future mortality improvement projections and are updated periodically.
Your audit work here is simpler than on the financial assumptions. Confirm the actuary used the current published table for the jurisdiction. If the actuary applied an entity-specific adjustment (for example, a loading factor for a workforce with heavy physical labour or exposure to hazardous materials), request the basis for that adjustment and evaluate whether it’s reasonable given the client’s industry and workforce profile.
Entity-specific mortality adjustments are uncommon on mid-market engagements. When they appear, they need evidence. A blanket statement that “the workforce has above-average physical demands” is not sufficient. You need the actuary to point to specific occupational data or industry mortality studies that support the adjustment factor applied.
Plan amendments, curtailments, and settlements
IAS 19.99 through IAS 19.112 cover events that change the terms or coverage of a plan. Plan amendments (changing the benefit formula), curtailments (significantly reducing the number of employees covered), and settlements (irrevocably discharging all or part of the obligation) all require immediate remeasurement of the DBO. On a mid-market engagement, the most common trigger is a restructuring that reduces headcount.
If the client ran a voluntary departure programme or closed a division during the year, check whether the actuary reflected this in the DBO calculation. A curtailment gain or loss under IAS 19.102 should be recognised when the curtailment occurs, not at year-end. If the actuary’s report uses census data from before the curtailment and rolls forward without adjustment, the DBO is misstated.
How to evaluate the actuary under ISA 500
ISA 500.A34 through ISA 500.A48 govern your evaluation of management’s expert. You’re not auditing the actuarial science. You’re assessing whether the actuary is competent, whether the actuary’s work is appropriate for audit purposes, and whether the assumptions are reasonable given observable market data.
Competence and objectivity
ISA 500.A37 requires you to consider the expert’s competence, capability, and objectivity. For an actuary, competence typically means membership of a recognised professional body: the Koninklijk Actuarieel Genootschap in the Netherlands, the Institut der Versicherungsmathematischen Sachverständigen in Germany, or the Institute and Faculty of Actuaries in the UK. Record the actuary’s credentials, confirm their professional membership is current, and assess whether they have experience with pension valuations in the relevant jurisdiction.
Objectivity is the more subtle question. If the actuary was appointed by the client, works exclusively for the client, and has done so for fifteen years, that’s not an independence issue under ISA 500 (the actuary is not your expert). It is, however, a factor in how much weight you place on the work. A long-standing appointment can create familiarity that affects assumption selection. Document your assessment of objectivity, note the length of the relationship, and consider whether the assumptions show any systematic bias toward understating the obligation.
Evaluating the actuary’s work product
IAS 19.144 requires disclosure of the significant actuarial assumptions used. The actuary’s report should provide these explicitly. Your evaluation covers four areas, and each one should be documented separately in the working paper.
Start by confirming the census data the actuary used matches the client’s HR records. The number of active members, deferred members, and pensioners in the actuary’s report should reconcile to the client’s records at the census date. Mismatched headcounts are more common than most teams expect, particularly after restructurings or early retirement programmes. A client that ran a voluntary redundancy programme in Q3 may have sent the actuary a census extract from Q1.
Next, assess whether the financial assumptions fall within the range supported by observable data. Yield curves for the discount rate, published mortality tables, and the sector CAO for salary increases all provide external benchmarks. A point estimate outside the range requires an explanation from the actuary, and you document that explanation.
Then verify the actuary applied the IAS 19 methodology, not a funding or regulatory methodology. Dutch pension funds report under a funding framework that uses a different discount rate (the DNB UFR curve) than IAS 19 financial reporting requires. If the actuary provided the funding valuation and the client used those numbers in the financial statements, the discount rate is wrong. This is the single highest-risk error on a Dutch pension engagement, and it takes less than five minutes to check.
Finally, if the actuary performed a full valuation at an earlier date and rolled it forward to the reporting date under IAS 19.58, assess whether a material event occurred between the valuation date and the reporting date that would invalidate the roll-forward. Plan amendments, curtailments, or significant changes in market yields all qualify.
Worked example: auditing Brouwer Installatietechniek B.V.
Client: Brouwer Installatietechniek B.V., a building services engineering company based in Utrecht. Revenue: €52M. 280 employees. Defined benefit obligation: €14.6M. Plan assets: €11.8M. Net pension liability on balance sheet: €2.8M. Performance materiality: €420K.
1. Obtain the actuary’s report and reconcile census data
The actuary (a registered member of the Koninklijk Actuarieel Genootschap) reports 274 active members, 42 deferred members, and 31 pensioners. You reconcile to the HR system export: 278 active members, 42 deferred, 31 pensioners. The four-member discrepancy traces to employees who joined in December after the census date. You calculate the estimated impact: approximately €48K addition to the DBO. Below performance materiality but recorded in the summary of unadjusted differences.
Documentation note
Record the census reconciliation in the pension lead schedule. Note the four-member discrepancy, the cause (timing of census versus year-end headcount), the estimated impact (€48K), and the conclusion that the discrepancy is not material.
2. Test the discount rate
The actuary applied a discount rate of 3.35% based on a duration of 16.4 years. You check the Aon and Willis Towers Watson year-end reference rates for eurozone AA corporate bonds at 16-year duration: the published range is 3.20% to 3.45%. The actuary’s rate of 3.35% falls within this range.
To test sensitivity, you recalculate the DBO at the boundaries. At 3.20%, the DBO increases by approximately €340K. At 3.45%, it decreases by approximately €230K. Neither boundary breaches performance materiality from the reported position.
Documentation note
Record the actuary’s discount rate, the duration used, the source and date of the published reference rates, the comparison result, and the sensitivity analysis. File the Aon reference rate publication as supporting evidence.
3. Challenge the salary growth assumption
The actuary assumes 2.75% salary growth. The sector CAO (Technisch Installatiebedrijf) provides for 3.2% increases in the current agreement period. Historical salary increases at Brouwer over the last four years averaged 3.4%. You raise this with management. The financial controller explains that the 2.75% reflects an expected moderation after the current CAO expires, based on ECB inflation projections. You assess the explanation as reasonable but note that a 0.45% gap between the assumption and the current CAO creates a potential understatement.
You calculate the impact: approximately €185K additional DBO if the salary growth assumption were increased to 3.2%. Below performance materiality individually, but you record it alongside the census discrepancy in the summary of unadjusted differences.
Documentation note
Record the salary growth assumption, the CAO rate, the historical trend, management’s explanation for the deviation, your assessment of reasonableness, and the estimated impact of applying the CAO rate. This is the type of judgment call that benefits from a brief discussion with the engagement partner before concluding.
4. Verify IAS 19 methodology versus funding framework
The actuary’s report includes a section labelled “Funding position (DNB UFR methodology).” You confirm that the financial statement numbers are drawn from the separate IAS 19 section of the report, which uses the corporate bond discount rate per IAS 19.83. The DNB UFR rate used for funding purposes is 2.10%, which would increase the DBO by approximately €3.1M if applied to the financial statements.
Mixing the two frameworks is the single highest-value check on this engagement.
Documentation note
Explicitly state in the working paper that you confirmed the financial statement figures are based on IAS 19 assumptions (corporate bond discount rate per IAS 19.83), not the funding framework (DNB UFR curve). This distinction is not obvious to reviewers unfamiliar with Dutch pension regulation, so spell it out.
Your pension audit checklist
- Confirm the actuary’s professional credentials and membership status before relying on the report. Record the actuary’s name, firm, and professional body membership number in the working paper. (ISA 500.A37.)
- Reconcile the census data in the actuary’s report (active members, deferred members, pensioners) to the client’s HR records at the census date. Investigate discrepancies exceeding 1% of total membership.
- Test the discount rate against published year-end reference rates for the relevant duration. Document the duration, the reference source, the publication date, and the comparison result. (IAS 19.83.)
- Compare the salary growth assumption to the sector collective labour agreement and the client’s historical salary increases over the prior four years. If the assumption deviates by more than 50 basis points from observable data, document management’s explanation and your assessment of it.
- Confirm the actuary used the current jurisdiction mortality table (AG Prognosetafel in the Netherlands, Heubeck in Germany). If entity-specific adjustments were applied, request and evaluate the supporting evidence.
- Verify the financial statement figures are based on IAS 19 assumptions, not the pension fund’s regulatory or funding framework. On Dutch engagements, confirm the discount rate is not the DNB UFR rate.
Common mistakes
- Relying on the actuary’s report without reconciling census data to HR records. The FRC’s 2023 inspection findings on pension audits noted that census data reconciliation was either absent or incomplete in a significant proportion of reviewed files. A mismatch of even ten members on a mid-sized plan can shift the DBO by a material amount depending on the age and salary profile of the missing members.
- Accepting the discount rate without checking it against published reference data for the specific duration of the obligation. A headline comparison to “the eurozone AA yield” is insufficient. The yield curve is not flat, and the rate for a 10-year duration can differ from the rate for a 20-year duration by 30 to 60 basis points in normal market conditions. Without knowing the plan’s duration, you can’t assess the rate.
Related products
Get practical audit insights, weekly.
No exam theory. Just what makes audits run faster.
No spam — we're auditors, not marketers.
Related Ciferi content
Related guides:
Put audit concepts into practice with these free tools:
Frequently asked questions
How do I test the discount rate used in a defined benefit pension valuation?
IAS 19.83 requires the discount rate to be determined by reference to market yields on high-quality corporate bonds at the reporting date. Check the actuary’s rate against published year-end reference rates from Aon, Willis Towers Watson, or Mercer for the relevant duration bucket. You need the plan’s duration estimate and the corresponding yield at that point on the curve, not just a headline rate comparison.
Can a Dutch entity with a bedrijfstakpensioenfonds use defined contribution accounting?
IAS 19.34 provides a practical exemption. Where a multi-employer plan is a defined benefit plan but the entity cannot obtain sufficient information to apply defined benefit accounting, the entity accounts for it as defined contribution. Your audit work is to confirm the plan is genuinely multi-employer, that the entity cannot obtain individual allocation data, and to document the basis for the defined contribution treatment.
Why is reconciling census data to HR records important in a pension audit?
A mismatch between the actuary’s census data and the client’s HR records can shift the defined benefit obligation by a material amount depending on the age and salary profile of the missing members. The FRC’s 2023 inspection findings noted that census data reconciliation was either absent or incomplete in a significant proportion of reviewed files.
What is the biggest risk on a Dutch pension engagement under IAS 19?
The single highest-risk error is using the pension fund’s regulatory or funding framework discount rate instead of the IAS 19 corporate bond rate. Dutch pension funds report under a funding framework that uses the DNB UFR curve, which differs from the IAS 19.83 corporate bond discount rate. If the actuary provided the funding valuation and the client used those numbers, the discount rate is wrong.
How do I evaluate the actuary as management’s expert under ISA 500?
ISA 500.A37 requires you to consider the expert’s competence, capability, and objectivity. Confirm the actuary holds membership of a recognised professional body and has experience with pension valuations in the relevant jurisdiction. Assess objectivity by noting the length of the client relationship, and consider whether assumptions show systematic bias toward understating the obligation.
Further reading and source references
- IAS 19, Employee Benefits (revised 2011): the source standard governing defined benefit obligation measurement, actuarial assumptions, and disclosure requirements.
- ISA 500, Audit Evidence: governs the evaluation of management’s expert, including the actuary providing pension valuations.
- ISA 540, Auditing Accounting Estimates and Related Disclosures: sets the framework for auditing the actuarial assumptions that underpin the DBO.
- IAS 26, Accounting and Reporting by Retirement Benefit Plans: relevant for the pension fund’s own financial statements.