A tailored course, built for your situation
Mastering IFRS 17 for Insurance Finance Practitioners
A complete implementation roadmap with source-backed rationale for every design decision
The situation this course is for
Even technically sound IFRS 17 models face rework when the supporting rationale lacks defensible depth. Teams spend cycles rebuilding narratives instead of advancing implementation.
Who this is for
Insurance finance practitioners implementing IFRS 17 at global financial institutions, responsible for model documentation, audit readiness, and cross-functional alignment
Who this is not for
Executives seeking board-level summaries, consultants offering generic frameworks, or teams still evaluating IFRS 17 readiness
What you walk away with
- Trace every assumption in your IFRS 17 model to a documented source or regulatory precedent
- Respond to technical challenges with specific examples from peer implementations
- Build audit packages that withstand senior review without rework
- Structure model documentation to preempt common reviewer pushback
- Advance from implementation contributor to recognized subject matter owner
The 12 modules (with all 144 chapters)
- Defining insurance contracts under IFRS 17 vs legacy GAAP
- Identifying embedded derivatives requiring separation
- Applying the portfolio approach without triggering aggregation errors
- Setting boundaries for contract modification treatment
- Distinguishing between onerous and profitable contracts
- Mapping policyholder behavior assumptions to contract groups
- Documenting scope decisions for audit trail completeness
- Avoiding common classification mistakes in hybrid contracts
- Applying the premium allocation approach selectively
- Using regulator-accepted templates for contract grouping
- Integrating reinsurance contracts into scope definition
- Building a living scope register for ongoing updates
- Sourcing historical lapse data by policy cohort
- Adjusting for macroeconomic influences on lapse behavior
- Applying credibility theory to stabilize small data sets
- Integrating behavioral economics into lapse modeling
- Back-testing lapse assumptions against actual experience
- Documenting rationale for management overlay adjustments
- Calibrating lapse elasticity to interest rate changes
- Using peer benchmarks to justify conservative assumptions
- Modeling pandemic-era disruption impacts on lapses
- Linking lapse assumptions to dynamic surrender charges
- Stress-testing lapse assumptions under extreme scenarios
- Creating audit-ready narratives for lapse rate decisions
- Selecting base yield curves appropriate for jurisdiction
- Adjusting for liquidity premium in illiquid markets
- Incorporating credit spread adjustments for non-sovereign bonds
- Applying the top-down method for illiquid portfolios
- Validating curve construction with market-observed spreads
- Documenting the rationale for curve selection
- Back-testing discount rate impacts on liability valuation
- Using regulator-accepted sources for risk margins
- Mapping currency mismatch adjustments to hedging strategy
- Aligning curve roll-forward methodology with audit cycles
- Stress-testing discount rates under parallel shifts
- Building reusable templates for quarterly updates
- Choosing between confidence level and cost-of-capital methods
- Setting confidence levels based on portfolio volatility
- Calculating risk margins using regulator-prescribed formulas
- Back-testing risk adjustment outcomes against actuals
- Applying diversification benefits with documented rationale
- Integrating risk adjustment into cash flow projections
- Using market-consistent data where available
- Documenting management overlay decisions transparently
- Adjusting for materiality thresholds in small portfolios
- Aligning risk margin frequency with reporting cycles
- Stress-testing risk adjustment under extreme loss scenarios
- Creating audit trails for every assumption change
- Identifying material service promises in contract terms
- Allocating premiums across services using relative value
- Applying the measurement model to modified contracts
- Assessing whether changes trigger remeasurement
- Using regulator-accepted templates for modification analysis
- Documenting contract boundary decisions systematically
- Back-testing allocation logic against actual claims
- Integrating optional benefits into service margin
- Handling multi-option riders in boundary setting
- Aligning modification treatment with hedging impacts
- Stress-testing boundary logic under policyholder choices
- Building reusable decision trees for common scenarios
- Initial recognition of service margin at contract inception
- Allocating unearned profit across coverage periods
- Releasing service margin using coverage units
- Adjusting for experience gains and losses
- Documenting management overlay in margin release
- Back-testing service margin against actual profitability
- Integrating service margin with lapse and mortality
- Using regulator-accepted templates for margin analysis
- Aligning release patterns with expected claims timing
- Stress-testing service margin under adverse scenarios
- Building reusable calculation engines for efficiency
- Creating audit trails for every margin adjustment
- Identifying contracts eligible for variable fee treatment
- Defining the underlying items driving fee variability
- Measuring fee variability using historical experience
- Applying the variable fee approach to unit-linked policies
- Documenting fee-setting mechanisms transparently
- Back-testing fee assumptions against actuals
- Integrating fee adjustments into liability calculations
- Using regulator-accepted templates for fee analysis
- Aligning fee recognition with distribution timing
- Stress-testing fee assumptions under market shifts
- Building reusable models for fee projection
- Creating audit-ready narratives for fee decisions
- Distinguishing between reinsurance and financial guarantees
- Applying the same measurement model to reinsurance
- Allocating premiums and liabilities to reinsurance layers
- Measuring reinsurance recoverables at fair value
- Documenting ceded contract terms systematically
- Back-testing recoverables against actual claims
- Integrating reinsurer credit risk into valuation
- Using regulator-accepted templates for ceded analysis
- Aligning reporting timing with reinsurer data
- Stress-testing recoverables under reinsurer default
- Building reusable models for reinsurance impact
- Creating audit trails for reinsurance decisions
- Identifying data points required for liability calculation
- Mapping policy administration system fields to IFRS 17
- Validating data completeness and accuracy at source
- Building reconciliation logic between systems
- Documenting data transformation rules transparently
- Back-testing data outputs against actuarial inputs
- Integrating new data sources into existing pipelines
- Using regulator-accepted templates for data mapping
- Aligning data refresh cycles with reporting deadlines
- Stress-testing data quality under system outages
- Building reusable data validation scripts
- Creating audit trails for data lineage
- Structuring the notes to financial statements
- Explaining key assumptions in plain language
- Linking disclosures to underlying model outputs
- Using regulator-accepted templates for narrative
- Aligning disclosure timing with audit cycles
- Stress-testing disclosures under scrutiny
- Building reusable disclosure engines
- Creating audit-ready narratives for all assumptions
- Integrating peer examples into disclosure justification
- Documenting rationale for every narrative choice
- Back-testing disclosure clarity with reviewers
- Finalizing disclosures for external publication
- Anticipating common auditor questions on assumptions
- Gathering source documentation for every input
- Organizing evidence by assertion type
- Using regulator-accepted templates for response
- Aligning review timing with audit cycles
- Stress-testing responses under follow-up
- Building reusable response libraries
- Creating audit trails for all submissions
- Integrating peer examples into justification
- Documenting rationale for every change
- Back-testing responses with internal reviewers
- Finalizing submissions for external audit
- Scheduling data refreshes and model runs
- Validating updates against prior periods
- Documenting rationale for assumption changes
- Using regulator-accepted templates for updates
- Aligning update timing with reporting deadlines
- Stress-testing updates under market shifts
- Building reusable update scripts
- Creating audit trails for every version
- Integrating peer benchmarks into updates
- Documenting rationale for every adjustment
- Back-testing updates against actuals
- Finalizing updates for external reporting
How this maps to your situation
- IFRS 17 implementation phase
- Audit preparation cycle
- Model documentation refinement
- Cross-functional alignment on assumptions
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: 90 minutes per week over six weeks, designed for working practitioners
How this compares to the alternatives
Unlike generic IFRS 17 overviews, this course delivers line-by-line rationale for every modeling decision, with sourced examples and regulator-tested language.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.