A tailored course, built for your situation
Mastering Basel III for Senior Financial Engineers in Regulated Institutions
A structured path to internal authority on capital adequacy and risk-weighted asset frameworks
Who this is for
Senior engineer in a regulated financial institution responsible for technical alignment with Basel III capital and liquidity standards
Who this is not for
Junior compliance staff, auditors, or consultants without direct responsibility for engineering-to-regulation mapping
What you walk away with
- Internal fluency in Basel III’s three pillars, especially risk-weighted asset calculations under Pillar 1
- Ability to anticipate how engineering choices affect capital treatment without waiting for compliance review
- Structured framework for justifying design decisions to risk and control teams using Basel-aligned logic
- Access to a reusable implementation playbook with mappings to common infrastructure patterns
- Confidence to lead internal conversations on capital-efficient engineering before audit cycles begin
The 12 modules (with all 144 chapters)
- Origins of Basel III in post-the current cycle financial reform
- Key differences between Basel I, II, and III frameworks
- The role of the Basel Committee on Banking Supervision
- How national regulators adopt Basel standards locally
- Pillar 1: Minimum capital requirements breakdown
- Pillar 2: Supervisory review process mechanics
- Pillar 3: Market discipline and disclosure logic
- Scope of application: Which institutions must comply
- Treatment of consolidated vs. standalone reporting
- Interaction between Basel III and local regulations
- Capital adequacy ratio: Definition and components
- Liquidity Coverage Ratio: Purpose and structure
- What counts as an exposure under Basel III
- On-balance sheet vs. off-balance sheet exposures
- Standardized Approach for credit risk weighting
- Foundation IRB and Advanced IRB methods overview
- How loan classification affects risk weights
- Treatment of derivatives and CVA risk
- Securitization exposures and their capital impact
- Equity investments and risk weighting rules
- Operational risk capital charge calculation
- Market risk capital requirements under FRTB
- How engineering systems track exposure classification
- Common misalignments between data systems and RWA
- Definition of the leverage ratio and its purpose
- Tier 1 capital to total exposure ratio calculation
- Difference between exposure measures under leverage vs. RWA
- Treatment of derivatives and repo transactions
- Impact of off-balance sheet items on exposure
- How clearing and central counterparty usage affects leverage
- Engineering considerations in exposure measurement systems
- Data reconciliation between finance and engineering teams
- Common errors in exposure reporting pipelines
- How cloud migration affects balance sheet exposure
- Infrastructure decisions with leverage implications
- Strategies to reduce exposure without asset sales
- Classification of sovereign and central bank exposures
- Risk weights for commercial bank claims
- Corporate loan risk weighting rules
- Treatment of retail and SME exposures
- Residential and commercial real estate risk weights
- Unsecured vs. secured exposure distinctions
- Eligible collateral types and haircuts
- Guarantees and credit derivatives in risk mitigation
- How internal data systems classify exposure type
- Common misclassifications in loan origination systems
- Engineering controls for exposure tagging
- Audit readiness for credit risk data flows
- Overview of IRB framework eligibility
- Foundation IRB vs. Advanced IRB differences
- Probability of default estimation methods
- Loss given default modeling standards
- Exposure at default measurement rules
- Effective maturity and its calculation
- Model validation requirements under Basel
- Engineering role in model input data pipelines
- Data lineage for IRB model inputs
- Change control for risk rating systems
- Audit expectations for model documentation
- How infrastructure stability affects model reliability
- Definition of operational risk under Basel
- Seven event type classifications
- Loss data collection requirements
- Business line mapping for operational risk
- Standardized Measurement Approach formula
- Business indicators and their calculation
- Loss component and scaling factors
- Engineering systems that log operational losses
- Data integration between IT and risk teams
- Common gaps in loss event tracking
- How incident response affects capital charges
- Automation opportunities in loss reporting
- Objectives of the FRTB reform
- Trading book vs. banking book boundary rules
- Expected shortfall calculation method
- Sensitivities-based method for non-modellable risk
- Default risk charge and its structure
- Capital add-ons for illiquid positions
- Liquidity horizons and their role in calculation
- Data requirements for FRTB reporting
- Engineering systems for trading position tracking
- Time series storage for risk factors
- Backtesting infrastructure for market models
- Integration with front-office risk systems
- Purpose of the Liquidity Coverage Ratio
- Stock of high-quality liquid assets (HQLA)
- Classification of Level 1, 2A, and 2B assets
- Runoff rates for retail and wholesale deposits
- Cash inflows and outflows under stress
- Monitoring frequency and reporting cycles
- Engineering role in HQLA eligibility tracking
- Data pipelines for deposit classification
- Forecasting systems for cash outflows
- Integration with treasury management platforms
- Common failures in LCR data reconciliation
- Automation opportunities in liquidity reporting
- Definition of the Net Stable Funding Ratio
- Available stable funding sources
- Required stable funding by asset type
- Maturity mismatches and their capital impact
- Treatment of derivatives and repos
- Retail stable funding assumptions
- Wholesale funding stability classifications
- Engineering systems for maturity tagging
- Data models for funding stability
- Integration with asset-liability management
- Common data gaps in NSFR reporting
- How cloud financing affects NSFR
- Purpose of the Supervisory Review Process
- Internal Capital Adequacy Assessment Process (ICAAP)
- Stress testing requirements under Pillar 2
- Scenario design for capital planning
- Reverse stress testing logic
- Governance expectations for ICAAP
- Engineering role in data for stress models
- Model execution environments
- Scenario data storage and retrieval
- Integration with risk aggregation platforms
- Audit readiness for ICAAP documentation
- How infrastructure resilience affects stress outcomes
- Scope of Pillar 3 disclosures
- Frequency and timing of reporting
- Capital structure and composition disclosures
- Risk exposure summaries for credit and market risk
- Operational risk exposure reporting
- Leverage ratio disclosure templates
- Liquidity risk disclosures
- Engineering role in data aggregation
- Data lineage for public disclosures
- Validation rules for disclosure outputs
- Common errors in Pillar 3 submissions
- How automation reduces disclosure risk
- Mapping engineering decisions to Basel categories
- Designing systems with capital efficiency in mind
- Pre-audit validation checklists for engineers
- Cross-functional alignment with risk teams
- Documenting capital treatment assumptions
- Version control for regulatory logic
- Playbook for onboarding new systems
- Change management for Basel-relevant updates
- Training materials for engineering teams
- Metrics for tracking capital alignment
- Feedback loop from audit findings
- Scaling the framework across projects
How this maps to your situation
- Basel III implementation in regulated financial institutions
- Engineering responsibility in capital adequacy reporting
- Risk-weighted asset classification systems
- Internal capital adequacy assessment processes
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 total reading and reflection time, designed for completion in a single Sunday morning.
How this compares to the alternatives
Unlike generic compliance overviews, this course delivers exact mappings between engineering decisions and Basel III capital treatment, with source-backed reasoning and reusable implementation logic.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.