A tailored course, built for your situation
Mastering Basel III for Full-Stack Developers in Regulated Financial Institutions
Build compliance-aware systems with direct ownership of risk-aware implementation decisions
The situation this course is for
Engineers often build transaction systems without full context of how their outputs feed into Basel III Pillar 1 and 2 reports. This leads to late-cycle changes, duplicated effort, and mismatched expectations between dev and risk teams.
Who this is for
A full-stack developer at a regulated financial institution who ships code impacting liquidity coverage ratios, leverage exposure, or risk-weighted assets, and wants to own the design, not just execute specs.
Who this is not for
This is not for risk analysts, compliance officers, or architects who don’t write or review production code.
What you walk away with
- Own the design of risk-aware services without deferring to risk or compliance teams
- Prove data lineage for LCR and NSFR calculations from code to regulatory report
- Make final decisions on thresholds, fallback logic, and stress-scenario handling
- Ship systems that pass internal audit review without rework loops
- Become the go-reference for engineering teams building Basel III-impacting features
The 12 modules (with all 144 chapters)
- Overview of Basel III and its evolution from prior accords
- Pillar 1: Minimum capital requirements and technical implications
- Pillar 2: Supervisory review and internal governance expectations
- Pillar 3: Market discipline and public disclosure mandates
- Key differences between US and EU Basel implementation
- How national regulators interpret Basel III at the code level
- Linking engineering output to firm-wide capital adequacy reports
- Understanding the LCR and NSFR formulas in production context
- Role of leverage ratio in limiting balance sheet expansion
- Risk-weighted assets and their impact on capital buffers
- Stress testing requirements and their engineering footprint
- How Basel IV proposals affect future system design
- LCR formula and its dependency on system design
- Defining high-quality liquid assets in data models
- Time-window handling for 30-day stress periods
- Cash inflow and outflow categorization logic
- Client behavior modeling during liquidity stress
- Encoding run-off rates by counterparty class
- Real-time monitoring of LCR thresholds
- Automated escalation paths when LCR dips below threshold
- Data retention rules for audit trails
- Versioning risk logic across deployment cycles
- Testing LCR compliance under edge-case scenarios
- Integrating LCR checks into CI/CD pipelines
- NSFR formula and its components explained
- Available stable funding sources in engineering terms
- Required stable funding by asset class
- Time-based funding maturity mapping
- Client funding behavior modeling
- Stable funding indicators in transaction systems
- Calculating funding gaps over one-year horizon
- Automated alerts for approaching NSFR breach
- Handling non-maturing deposits in code
- Modeling behavioral runoff under stress
- Integration with balance sheet reporting systems
- Testing NSFR resilience across economic scenarios
- Standardized approach to credit risk weighting
- Internal ratings-based models and their inputs
- Market risk: VaR and expected shortfall in code
- Operational risk: Basic indicator approach logic
- Mapping transaction types to risk categories
- Exposure at default and loss given default parameters
- Collateral and netting agreements in risk logic
- Granularity requirements for risk reporting
- Real-time vs batch risk computation trade-offs
- Caching and pre-computation strategies
- Handling risk recalibrations in production
- Audit trails for risk-weighted asset decisions
- Definition of total exposure measure
- On-balance sheet asset inclusion rules
- Derivative exposure measurement logic
- Securities financing transaction handling
- Off-balance sheet item conversion factors
- Tier 1 capital components in regulatory context
- Real-time leverage ratio dashboards
- Threshold-based alerting for capital breaches
- Integration with capital planning systems
- Periodic recalibration of exposure measures
- Testing leverage limits under stress
- Documentation for regulatory validation
- Types of stress scenarios: interest rate, market, liquidity
- Defining severity levels for internal testing
- Data inputs needed for scenario execution
- Modeling counterparty defaults in code
- Simulating margin calls and collateral calls
- Cash flow disruptions under stress
- Balance sheet deterioration modeling
- Automated scenario playback systems
- Output formatting for supervisory review
- Version control for scenario definitions
- Performance requirements during stress runs
- Auditability of scenario execution results
- Regulatory expectations for data traceability
- Designing lineage-aware data schemas
- Tagging fields with origin and transformation history
- Cross-system tracking of risk metrics
- Immutable logging for critical risk data
- Automated lineage documentation generation
- Querying data paths for audit validation
- Handling schema changes without breaking lineage
- Role-based access to lineage views
- Performance optimization for large-scale tracing
- Testing lineage completeness under load
- Integration with enterprise data catalogs
- Change approval workflows for risk logic
- Segregation of duties in deployment pipelines
- Peer review requirements for risk code
- Versioning strategies for regulatory logic
- Documentation standards for code changes
- Automated compliance checks in pull requests
- Rollback procedures during incidents
- Audit readiness for deployment history
- Handling emergency fixes without bypass
- Change impact assessment templates
- Integration with IT governance frameworks
- Reporting change metrics to compliance
- Defining real-time risk indicators
- Latency requirements for monitoring systems
- Threshold configuration and calibration
- Multi-level alerting: warning, breach, critical
- Escalation routing based on breach severity
- Dashboarding for risk engineers and managers
- Automated response triggers for minor breaches
- Incident logging and post-mortem integration
- Testing alerting under simulated breaches
- Noise reduction in high-volume systems
- False positive handling and tuning
- Integration with firm-wide incident platforms
- Common audit findings in risk systems
- Evidence types required by examiners
- Automated evidence collection scripts
- Timestamping and tamper-proofing logs
- Documentation of design decisions
- Sampling strategies for code reviews
- Preparing data extracts for auditors
- Response templates for common findings
- Internal pre-audit walkthroughs
- Version-controlled audit packages
- Handling auditor follow-up requests
- Post-audit action tracking
- Translating regulatory text into technical specs
- Joint design sessions with risk analysts
- Shared glossaries and definition alignment
- Documentation standards for cross-functional use
- Feedback loops with compliance reviewers
- Planning cycles aligned with reporting deadlines
- Prioritizing risk work in sprint planning
- Metrics for measuring compliance efficiency
- Conflict resolution patterns for design disputes
- Building trust through transparency
- Onboarding new engineers into risk-aware workflows
- Knowledge transfer between dev and risk
- Overview of Basel IV proposals
- Expected changes to credit risk modeling
- Standardized approach refinements
- Output floor implications for internal models
- Operational resilience requirements
- Climate risk integration into capital planning
- Digital transformation and regulatory expectations
- Model risk management for AI-driven systems
- Regulatory technology trends to watch
- Designing for modularity in risk logic
- Preparing for more granular reporting
- Strategies for continuous compliance evolution
How this maps to your situation
- Current role: Full-stack developer in regulated financial services
- Regulatory pressure: Basel III compliance and upcoming Basel IV
- Technical ownership: Systems impacting liquidity, leverage, and risk-weighted assets
- Career opportunity: Becoming the trusted engineering authority on risk-aware systems
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, with flexible access to all materials
How this compares to the alternatives
Unlike generic compliance courses or university programs, this course is tailored to full-stack developers building systems that feed into Basel III reports, giving you concrete decision authority others lack.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.