A tailored course, built for your situation
Mastering IFRS 17 for Financial Systems Developers
A structured path to owning the technical design and implementation of IFRS 17 compliance in core financial platforms
The situation this course is for
The gap isn't technical skill, it's clarity on how the standard translates into system design. Without that, developers stay in delivery mode, executing specs written by others. The real upside goes to those who can speak both actuarial logic and data architecture fluently.
Who this is for
A senior Solutions Developer in financial services who works at the intersection of regulatory change, data systems, and financial reporting, but hasn't yet positioned themselves as a go-to for IFRS 17 implementation.
Who this is not for
This is not for actuaries, auditors, or compliance officers whose focus is policy interpretation. It’s for technical builders who want to own the implementation layer.
What you walk away with
- Map IFRS 17 disclosure requirements directly to database schemas and API contracts
- Anticipate actuarial data needs and design validation checkpoints ahead of review cycles
- Structure modular, reusable implementation playbooks for IFRS 17 reporting cycles
- Position yourself as the technical anchor on cross-functional insurance finance projects
- Unlock access to higher-margin development engagements with dedicated budget and timeline
The 12 modules (with all 144 chapters)
- How IFRS 17 changes the data lifecycle in insurance finance
- Key differences between IFRS 4 and IFRS 17 from a systems perspective
- Why traditional finance teams can’t implement this alone
- The role of the Solutions Developer in bridging actuarial and engineering
- Where IFRS 17 intersects with capital modelling systems
- How regulatory scrutiny increases implementation complexity
- Common misconceptions technical teams have about IFRS 17
- Why timing matters, phased rollouts create first-mover advantages
- How internal stakeholders define 'done' for IFRS 17 projects
- The cost of delayed technical ownership in compliance cycles
- Case example: Rewriting a legacy ledger for new liability modelling
- Emerging patterns in IFRS 17 data architecture across global firms
- Identifying all required disclosures under IFRS 17 Part 2
- Mapping Statement of Financial Position items to data sources
- Mapping Statement of Profit and Loss items to calculation engines
- Understanding risk adjustment disclosures and data needs
- Service margin recognition and its timing implications
- Contractual service margin rollforward requirements
- Sensitivity disclosures and scenario inputs
- Aggregation rules across portfolios and their impact on ETL
- Currency translation disclosures in multi-jurisdiction environments
- The role of time granularity in daily vs monthly reporting
- How disclosures drive dashboard design and audit trails
- Common gaps between source data and disclosure templates
- Modelling future cash flows at contract group level
- Storing probability-weighted outcomes efficiently
- Time-series storage for liability measurement
- Indexation and inflation assumptions in data design
- Discount rate sourcing and application logic
- How to version liability assumptions over time
- Storing and querying stochastic outputs
- Balancing granularity with system performance
- Partitioning data for portfolio-level reporting
- Handling mid-period contract changes in cash flow models
- Designing audit-ready lineage from input to output
- Schema evolution strategies for long-term compliance
- Understanding typical actuarial model output formats
- Designing APIs for actuarial-to-system data handoff
- Validating actuarial inputs before ingestion
- Handling model versioning and reproducibility
- Scheduling dependencies between model runs and reporting
- Creating traceability from assumption to final output
- Error handling for failed actuarial runs
- Designing fallback logic for missing model outputs
- How to test actuarial integration without full datasets
- Common bottlenecks in actuarial-developer handoffs
- Automating validation of expected vs actual outputs
- Documenting assumptions for developer accessibility
- Breaking down GMM into implementable components
- Initial recognition of insurance contracts in systems
- Allocating acquisition costs across contract boundaries
- Modelling contract boundaries and modifications
- Implementing the contractual service margin calculation
- Amortizing service margin over coverage period
- Handling loss recognition events in code
- Aggregating results across portfolios and segments
- Designing for auditability in GMM outputs
- Testing edge cases in margin recognition
- Performance tuning for large-scale GMM runs
- Documenting technical decisions for compliance reviewers
- Identifying variable annuity features in contract data
- Modelling guaranteed minimum benefits
- Tracking participation rate calculations
- Handling dividend distributions in liability models
- Data needs for policyholder sharing mechanisms
- Implementing profit-sharing logic in code
- Validating guarantee thresholds at scale
- Storing and recalculating guaranteed outcomes
- Performance implications of stochastic guarantees
- Audit trails for variable payout logic
- Handling lapses and surrenders with profit shares
- Integration with distribution systems for payout execution
- Defining disclosure templates from regulatory text
- Mapping data fields to disclosure cells
- Designing a reusable transformation layer
- Versioning disclosures by reporting period
- Automating commentary generation from data trends
- Building reconciliation checks into the pipeline
- Validating disclosures against source systems
- Creating traceable lineage from raw data to output
- Handling multi-currency disclosures correctly
- Integrating with financial close workflows
- Scheduling disclosure runs ahead of deadlines
- Documenting assumptions and logic for auditors
- Identifying general ledger accounts impacted by IFRS 17
- Designing journal entry logic from liability results
- Matching IFRS 17 timing to financial close cycles
- Handling intercompany eliminations in reporting
- Reconciling IFRS 17 outputs with GAAP records
- Connecting to core banking systems for premium data
- Validating policy count consistency across systems
- Handling currency translation differences
- Designing fallbacks for system outages
- Auditing data flow between actuarial, ledger, and reporting
- Automating validation of inter-system consistency
- Documenting interfaces for handover to ops teams
- Defining acceptance criteria for IFRS 17 outputs
- Designing test datasets with known outcomes
- Testing probability-weighted logic for accuracy
- Validating discount rate application across scenarios
- Regression testing for model updates
- Scenario testing for economic shocks
- Automating reconciliation between systems
- Building confidence intervals into test results
- Testing at portfolio and contract group level
- Handling edge cases in contract modifications
- Creating audit-ready test documentation
- Version control for test cases and data
- Estimating computational load for IFRS 17 runs
- Partitioning data by portfolio and time
- Caching intermediate calculation results
- Parallelizing liability computation across clusters
- Optimizing database queries for time-series data
- Reducing I/O bottlenecks in actuarial integration
- Memory management for stochastic simulations
- Tuning batch job scheduling for reporting cycles
- Monitoring system performance during peak runs
- Scaling cloud infrastructure for on-demand needs
- Cost trade-offs between speed and storage
- Designing for long-term performance maintenance
- Defining audit requirements for IFRS 17 systems
- Designing system controls for compliance
- Documenting assumptions and methodology
- Creating data lineage maps for auditors
- Versioning models, code, and data pipelines
- Logging key decisions in implementation
- Handling model changes and reprocessing
- Proving consistency across reporting periods
- Preparing for regulator inquiries
- Building self-documenting system outputs
- Training audit teams on technical components
- Maintaining compliance posture after go-live
- Identifying technical debt in legacy IFRS 17 systems
- Prioritizing enhancements based on business impact
- Defining phase releases for complex rollouts
- Communicating technical constraints to business leads
- Building reusable components across projects
- Creating a backlog aligned with audit cycles
- Influencing vendor selection for supporting tools
- Onboarding new developers to the implementation
- Measuring system success beyond 'on time'
- Positioning yourself for future regulatory tech roles
- Documenting lessons for institutional memory
- Turning implementation experience into career leverage
How this maps to your situation
- Initial onboarding and context setting
- Core regulatory requirements translation
- Data and architecture design
- Long-term roadmap and ownership
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: Approximately 90 minutes per module, designed to be completed over 4-6 weeks at your pace.
How this compares to the alternatives
Generic IFRS 17 courses focus on accounting interpretation. This course is built for developers, it turns standards into code, data models, and system design. No other resource bridges this gap with implementation-grade detail.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.