A tailored course, built for your situation
Mastering Basel III for Data Science Leaders in Financial Services
Build defensible risk models that stand up to scrutiny and scale with confidence
$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.
Even strong models get challenged when they lack regulatory grounding
The situation this course is for
Data science teams in banks often build sophisticated models that fail to gain traction in capital planning or audit because they can't clearly map to Basel III's risk-weighted asset logic or supervisory reporting standards. This leads to rework, diluted influence, and missed opportunities to shape firm-wide capital decisions.
Who this is for
Data Science Associate Manager at a global financial institution, leading teams that build internal risk, capital, or liquidity models subject to regulatory validation
Who this is not for
Analysts focused solely on descriptive reporting, or data engineers maintaining pipelines without modelling ownership
What you walk away with
- Articulate the regulatory 'why' behind model design choices using Basel III text and EBA guidance
- Map model assumptions directly to Pillar 1 capital requirements and leverage ratios
- Defend model updates using precedent from recent regulatory filings and stress test disclosures
- Produce audit-ready documentation that aligns with internal audit and ECB/EBA review expectations
- Anticipate pushback from compliance or capital planning teams and address it preemptively
The 12 modules (with all 144 chapters)
Module 1. Understanding Basel III’s Structure and Evolution
Establish a working foundation in Basel III’s three pillars, key revisions, and how they shape internal capital adequacy frameworks in global banks. Focus on practical interpretation over abstract theory.
12 chapters in this module
- Origins of Basel III in post-the current cycle regulatory response
- Key differences between Basel I, II, and III frameworks
- Overview of the Basel Committee on Banking Supervision role
- How national regulators adopt and adapt Basel standards
- Pillar 1: Minimum capital requirements scope and intent
- Pillar 2: Supervisory review process fundamentals
- Pillar 3: Market discipline and disclosure mechanics
- Criticisms and adaptations over time
- Interplay with DFAST and CCAR in US contexts
- Basel III endgame revisions and their implications
- Timeline of major Basel III implementation phases
- Common misconceptions in quantitative teams
Module 2. Risk-Weighted Assets and Data Science Inputs
Break down the construction of risk-weighted assets and identify where data science models directly influence capital consumption. Learn how model choices affect RWA sensitivity.
12 chapters in this module
- Definition and importance of risk-weighted assets
- Asset class treatment: sovereign, bank, corporate, retail
- Standardized Approach vs Internal Ratings-Based inputs
- Exposure at default and probability of default models
- Loss given default estimation challenges
- Collateral and CVA adjustments in RWA calculation
- Data quality thresholds for regulatory acceptance
- How model drift impacts RWA stability
- Benchmarking against peer disclosures
- Documentation requirements for RWA models
- Common failure points in audit cycles
- Worked example: Corporate loan portfolio RWA
Module 3. Leverage Ratio and Its Model Dependencies
Explore the simplicity and rigidity of the leverage ratio, how it constrains risk models, and where data science can improve transparency without increasing capital.
12 chapters in this module
- Leverage ratio definition and regulatory purpose
- On-balance sheet exposure calculation rules
- Derivatives and repo treatment under leverage
- Conversion factors for undrawn commitments
- Impact of netting agreements on exposure
- Model simplifications that pass scrutiny
- How leverage interacts with capital buffers
- Case study: Reducing leverage exposure through structure
- Documentation expectations for finance teams
- Common misalignments with economic capital models
- Stress testing the leverage ratio
- Regulatory scrutiny trends and hotspots
Module 4. Capital Buffers and Stress Testing Integration
Understand how capital conservation, countercyclical, and G-SIB buffers are modelled and stress-tested, and how data science inputs shape outcomes.
12 chapters in this module
- Purpose of capital conservation buffer design
- Countercyclical buffer: calibration and triggers
- G-SIB and O-SIB surcharge calculations
- Incorporating buffer requirements into stress scenarios
- Modeling distribution constraints under stress
- Data inputs for macroeconomic scenario mapping
- Linking PD models to buffer drawdowns
- Backtesting buffer performance in crises
- Disclosure requirements for buffer usage
- Cross-border differences in buffer application
- Internal governance of buffer triggers
- Worked example: CCAR submission preparation
Module 5. Pillar 2A: Internal Capital Adequacy Assessment Process
Dive into ICAAP requirements and how data science models are expected to inform forward-looking capital decisions beyond minimum requirements.
12 chapters in this module
- ICAAP purpose and regulatory expectations
- Governance and documentation standards
- Stress testing beyond regulatory minimums
- Incorporating model risk into capital planning
- Scenario design for idiosyncratic risks
- Reverse stress testing fundamentals
- Model validation alignment with ICAAP
- Board reporting structure for capital gaps
- Benchmarking against peer ICAAP disclosures
- Common gaps in quantitative team outputs
- How auditors assess ICAAP robustness
- Building a defensible ICAAP narrative
Module 6. Pillar 2B: Supervisory Review and Evaluation Process
Learn how regulators evaluate internal models, and how to anticipate SREP expectations when building capital or risk forecasts.
12 chapters in this module
- SREP process timeline and objectives
- Key areas of focus for quantitative teams
- Model risk management expectations
- Data governance and lineage requirements
- Stress testing credibility assessment
- Capital planning and dividend constraints
- How internal models are benchmarked
- Documentation depth required by supervisors
- Preparing for on-site regulatory visits
- Case study: Post-SREP remediation plan
- Common findings in SREP reports
- Building a regulator-ready model inventory
Module 7. Model Risk Management and Basel Compliance
Integrate model risk frameworks with Basel III requirements, ensuring documentation, testing, and governance meet supervisory standards.
12 chapters in this module
- Model inventory classification under Basel
- Validation expectations for Basel-related models
- Segregation of duties in model development
- Benchmarking to external standards or peers
- Sensitivity analysis and stress testing alignment
- Model change management under Basel
- Documentation depth for audit and review
- Ongoing monitoring and performance tracking
- Model decommissioning with regulatory alignment
- Common weaknesses in model risk frameworks
- Integrating SR 11-7 guidance with Basel
- Worked example: Model validation report
Module 8. Liquidity Coverage Ratio and Funding Models
Understand the LCR framework, data inputs for high-quality liquid assets, and how behavioural assumptions are modelled and challenged.
12 chapters in this module
- LCR structure: stock vs flow approach
- High-quality liquid assets classification
- Cash outflow and inflow rate assumptions
- Behavioural parameters under stress
- Data inputs for retail and corporate deposits
- Derivatives cash flow estimation
- Maturity mismatch and tenor adjustments
- Documentation and audit expectations
- Common model adjustments during crises
- Peer benchmarking for LCR assumptions
- Impact of regulatory changes on LCR
- Worked example: LCR sensitivity analysis
Module 9. Net Stable Funding Ratio and Long-Term Structure
Explore the NSFR requirements and how data science supports stable funding profile analysis and long-term balance sheet planning.
12 chapters in this module
- NSFR purpose and structural intent
- Available stable funding classifications
- Required stable funding by asset type
- Maturity transformation risk metrics
- Behavioural assumptions for funding stability
- Data inputs for retail and wholesale funding
- Stress testing NSFR under outflows
- Documentation expectations for finance teams
- Model limitations and regulatory scrutiny
- Benchmarking against peer NSFR ratios
- Impact of business model on NSFR
- Worked example: NSFR gap analysis
Module 10. Basel III Disclosure and Public Reporting
Learn what must be disclosed under Pillar 3, how to prepare summary qualitative disclosures, and ensure quantitative templates are accurate and consistent.
12 chapters in this module
- Pillar 3 disclosure framework overview
- Core capital ratio and composition reporting
- Risk exposure summaries by class
- Leverage ratio and buffer disclosures
- Liquidity metrics and NSFR reporting
- Internal governance and risk management description
- Audit protocols for public templates
- Common errors in public filings
- Timeline alignment with earnings releases
- How investors use Pillar 3 data
- Preparing for disclosure review cycles
- Worked example: Pillar 3 template reconciliation
Module 11. Cross-Jurisdictional Basel Implementation
Compare how Basel III is implemented in US, EU, UK, and APAC regions, and how global firms harmonize internal models across regimes.
12 chapters in this module
- US implementation via Fed and OCC rules
- EU CRR2 and EBA guidelines alignment
- UK PRA approach post-Brexit
- APAC variations: Japan, Australia, Singapore
- Resolution planning and TLAC integration
- Group-wide model governance challenges
- Local regulator expectations vs global standards
- Data sharing and privacy constraints
- Harmonizing capital models across regions
- Case study: Global bank’s Basel roadmap
- Regulatory reporting consolidation
- Best practices for multi-jurisdiction teams
Module 12. Building the Defensible Model Playbook
Synthesize all components into a reusable, auditable, and defensible model development and justification process tailored to Basel III.
12 chapters in this module
- Playbook structure and ownership
- Integrating regulatory references into design docs
- Preemptive challenge preparation
- Checklist for audit and review readiness
- Version control and change tracking
- Cross-functional validation workflow
- Documentation automation strategies
- Training materials for new team members
- Stress test rehearsal process
- Updating playbook with regulatory changes
- Sharing playbook across business units
- Final review and sign-off protocol
How this maps to your situation
- When the next internal audit cycle begins
- Before submitting a model for validation
- During inter-departmental capital planning sessions
- After a regulatory reporting deadline
Before vs. after
Before
Models are technically sound but questioned due to lack of regulatory grounding
After
Models are both accurate and defensible, with clear justification rooted in Basel text and precedent
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 8-10 hours of focused learning, designed to be completed in short sessions over 3-4 weeks.
If nothing changes
Without a defensible framework, even high-performing models face delays, require rework, or lose influence in capital planning discussions.
How this compares to the alternatives
Unlike generic Basel overviews or academic treatments, this course is built for practitioners , with concrete examples, regulatory citations, and templates used by teams that passed audits and stress tests.
Frequently asked
Is this course relevant if I don’t work in a G-SIB?
Yes. Basel III principles apply across systemically important and regional banks. The defensibility frameworks are scalable to any institution with supervisory oversight.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover Basel IV or endgame changes?
Yes. The course includes the latest Basel III endgame revisions, including output floors, credit risk standardization, and SME capital treatment.
$199 one-time. Approximately 8-10 hours of focused learning, designed to be completed in short sessions over 3-4 weeks..
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