A tailored course, built for your situation
Premium engagement picks with Basel III mastery
Turn regulatory depth into selective, high-impact project access
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Who this is for
Senior data engineer in regulated financial services, contributing to risk-aligned data pipelines and compliance-critical reporting
Who this is not for
Entry-level analysts, non-technical compliance staff, or practitioners outside financial services subject to Basel III capital adequacy rules
What you walk away with
- Consistently selected for high-impact Basel III-related data projects
- Demonstrate clear command of capital adequacy data requirements
- Anticipate audit and control review expectations in pipeline design
- Position data engineering work as foundational to regulatory reporting
- Access to cross-functional risk and finance initiatives
The 12 modules (with all 144 chapters)
Module 1. Basel III fundamentals in practice
Understand the capital adequacy, liquidity, and leverage ratios driving data needs. Map core requirements to engineering deliverables.
12 chapters in this module
- Capital adequacy overview
- Risk-weighted assets explained
- Leverage ratio basics
- Liquidity coverage ratio
- Net stable funding ratio
- Pillar 1 vs Pillar 2
- CVA risk charge
- Counterparty risk
- Operational risk types
- Reporting frequency tiers
- Internal ratings-based approach
- Standardized approach mapping
Module 2. Data lineage for regulatory transparency
Build traceable data flows from source to report. Ensure auditors can follow every capital metric to its origin.
12 chapters in this module
- Source-to-report mapping
- Metadata tagging standards
- Transformation audit trails
- Schema change tracking
- Ownership assignment
- System of record definition
- Data provenance tools
- Lineage automation
- Versioned data paths
- Cross-system traceability
- Critical data elements
- Regulator inspection readiness
Module 3. Data quality in capital reporting
Design pipelines that detect and resolve data drift before it impacts capital calculations.
12 chapters in this module
- Accuracy thresholds
- Completeness checks
- Timeliness benchmarks
- Consistency validation
- Uniqueness rules
- Validity assertions
- Freshness monitoring
- Error handling workflows
- Exception escalation paths
- Reprocessing protocols
- Golden record definition
- Data quality dashboards
Module 4. Control frameworks for engineering teams
Integrate control expectations into CI/CD pipelines. Embed compliance into deployment workflows.
12 chapters in this module
- Control vs process distinction
- Input validation rules
- Change approval gates
- Version control standards
- Environment segregation
- Access controls for pipelines
- Role-based permissions
- Audit logging
- Automated control checks
- Exception reporting
- Control documentation
- Third-party tool validation
Module 5. Capital adequacy data pipelines
Structure pipelines to generate risk-weighted asset and leverage ratio inputs with precision.
12 chapters in this module
- On-balance sheet mapping
- Off-balance sheet exposures
- Credit conversion factors
- Risk weighting logic
- Exposure at default
- Loss given default
- Probability of default
- CVA calculation inputs
- Collateral data handling
- Legal entity hierarchy
- Consolidation logic
- Currency translation
Module 6. Liquidity reporting data architecture
Design systems that support LCR and NSFR calculations with timely, accurate cashflow data.
12 chapters in this module
- Cash inflow classification
- Cash outflow types
- Stressed outflows
- High-quality liquid assets
- Stock vs flow data
- Maturity bucketing
- Counterparty categorization
- Run-off rates
- Committed facilities
- Contingent liquidity
- Funding source diversification
- Stress scenario inputs
Module 7. Model risk data expectations
Supply data that meets model validation standards for internal ratings and CVA models.
12 chapters in this module
- Model input integrity
- Benchmark data sourcing
- Backtesting data needs
- Calibration frequency
- Sensitivity analysis
- Parameter stability
- Default rate data
- Loss severity inputs
- Correlation assumptions
- Portfolio segmentation
- Model validation cycles
- Challenge team data access
Module 8. Stress testing data pipelines
Build scalable data flows that support CCAR and firm-wide stress scenarios.
12 chapters in this module
- Scenario design
- Macroeconomic inputs
- Balance sheet projection
- Income statement impact
- Loss forecasting
- Pre-provision net revenue
- Tier 1 capital trend
- Capital ratio trajectory
- Reverse stress testing
- Scenario data versioning
- Parallel run validation
- Regulatory scenario mapping
Module 9. Audit narrative construction
Document data lineage and control points in a way that satisfies regulator follow-ups.
12 chapters in this module
- Audit readiness checklist
- Evidence collection
- Control mapping
- Policy citation
- Process documentation
- Workflow diagrams
- Exception logs
- Remediation tracking
- Control owner sign-off
- Testing evidence
- Audit trail maintenance
- Follow-up response drafting
Module 10. Cross-functional engagement strategies
Position data engineering as a core partner in risk and finance initiatives.
12 chapters in this module
- Stakeholder mapping
- Finance data needs
- Risk team collaboration
- Regulatory inquiry response
- Change advisory boards
- Project intake processes
- Priority alignment
- Capacity planning
- Escalation paths
- Joint deliverables
- Success metrics
- Feedback loops
Module 11. Regulatory change impact analysis
Assess how new or amended Basel III rules affect data pipeline design and scope.
12 chapters in this module
- Regulatory tracking
- Policy change review
- Impact assessment
- Scope definition
- Timeline alignment
- Resource planning
- Stakeholder communication
- Change implementation
- Validation planning
- Documentation updates
- Training coordination
- Go-live support
Module 12. Own the regulatory data narrative
Become the recognized contributor who bridges data engineering and Basel III compliance.
12 chapters in this module
- Thought leadership
- Best practice sharing
- Lessons learned
- Process improvement
- Toolchain advocacy
- Cross-team standards
- Knowledge transfer
- Mentorship
- External benchmarking
- Conference participation
- Internal training
- Career pathing
How this maps to your situation
- When building capital adequacy pipelines
- Before audit season
- During regulatory change cycles
- When joining risk or finance initiatives
Before vs. after
Before
Waiting for high-impact regulatory projects to come your way
After
Consistently selected for premium engagements due to proven regulatory data expertise
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 3 hours per module, designed to integrate with real-world project timelines.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses on the precise data engineering demands of Basel III, with field-tested templates and direct application to capital reporting pipelines.
Frequently asked
Who is this course for?
Senior data engineers in financial institutions contributing to Basel III capital and liquidity reporting.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me get selected for high-visibility projects?
Yes. The course builds the documentation, control, and narrative skills that make you a preferred partner for risk and finance teams.
$199 one-time. Approximately 3 hours per module, designed to integrate with real-world project timelines..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours