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FIN5667 Mastering MiFID II for Data Engineers in Financial Services

$199.00
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A tailored course, built for your situation

Mastering MiFID II for Data Engineers in Financial Services

Build compliant, auditable data pipelines with precision and 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.
Data engineers are increasingly on the hook for regulatory reporting accuracy, but few have direct command of the underlying framework that defines it.

The situation this course is for

MiFID II compliance is often treated as a policy layer dropped onto data teams. That creates rework, audit friction, and last-minute scrambles when reporting gaps surface. The root issue? The people building the pipelines don’t always own the rule interpretation.

Who this is for

Senior data engineers in financial institutions who are responsible for building or maintaining transaction reporting pipelines under MiFID II, especially those moving toward ownership of compliance architecture rather than just implementation.

Who this is not for

This is not for compliance analysts, policy writers, or data scientists. It’s not for those outside financial services or without direct pipeline responsibilities.

What you walk away with

  • Translate MiFID II Article 26 and RTS 22 requirements into technical pipeline logic
  • Design traceable data flows that satisfy ESMA audit expectations
  • Produce complete and defensible transaction reports (TRs) on demand
  • Anticipate and resolve common ESMA scope classification issues in code
  • Own the data architecture decisions behind regulatory reporting, not just execute them

The 12 modules (with all 144 chapters)

Module 1. Understanding MiFID II’s Data Imperatives
Ground your engineering in the regulatory intent. Learn how RTS 22 and Article 26 shape data collection, retention, and reporting obligations for transaction reporting.
12 chapters in this module
  1. Scope of MiFID II for data systems
  2. Key obligations under Article 26
  3. RTS 22 data field requirements
  4. Identifying reportable transactions
  5. Instrument reference data standards
  6. Client identification rules
  7. Execution venue classification
  8. Reporting thresholds and timing
  9. Data accuracy expectations
  10. Recordkeeping duration rules
  11. Audit trail depth requirements
  12. Regulatory purpose of each data point
Module 2. Mapping Regulation to Data Architecture
Break down MiFID II requirements into technical components. Translate legal language into schema decisions, pipeline triggers, and validation rules.
12 chapters in this module
  1. Schema mapping for TR messages
  2. Event-driven vs batch reporting
  3. Data lineage tracking methods
  4. Golden record construction
  5. Timestamp synchronization
  6. LAP and LAG identification logic
  7. Post-trade reporting flags
  8. Order vs execution reporting
  9. Aggregation rules for OTC trades
  10. Exception handling in trade reports
  11. Data quality gates
  12. Automated completeness checks
Module 3. Building Audit-Ready Data Pipelines
Design pipelines that produce clean, complete, and verifiable outputs. Learn how to structure data for first-time-right audit submissions.
12 chapters in this module
  1. Immutable audit trail design
  2. Event sourcing for compliance
  3. Schema versioning strategy
  4. Data provenance tagging
  5. Pipeline monitoring for gaps
  6. Automated reconciliation checks
  7. Error logging for regulators
  8. Data retention automation
  9. Access control audit logs
  10. Pipeline reprocessing logic
  11. State validation between stages
  12. End-to-end latency tracking
Module 4. TR Message Construction and Validation
Walk through the structure of a complete TR message. Validate every required field against ESMA guidance and internal data sources.
12 chapters in this module
  1. TR message header fields
  2. Instrument identifier mapping
  3. Executing party roles
  4. Investment decision maker tracking
  5. Client account classification
  6. Order reference chaining
  7. Execution timestamp rules
  8. Price and volume formatting
  9. Currency conversion handling
  10. Waiver code application
  11. Post-trade transparency flags
  12. Message signing process
Module 5. Client and Instrument Master Data
Ensure your underlying reference data meets MiFID II standards. Build and maintain golden records for clients and financial instruments.
12 chapters in this module
  1. LEI integration strategy
  2. UTP and UTI assignment logic
  3. Instrument classification rules
  4. Trading venue categorization
  5. Client tax residency tracking
  6. Legal entity hierarchy mapping
  7. Fund structure identification
  8. Derivative type classification
  9. Option strike price handling
  10. Bond coupon and maturity data
  11. FX pair classification
  12. Commodity contract specs
Module 6. Data Lineage and Traceability
Implement robust lineage tracking so every reporting field can be traced to its source with metadata, timestamps, and ownership.
12 chapters in this module
  1. End-to-end lineage architecture
  2. Column-level lineage tagging
  3. Pipeline metadata capture
  4. Source system mapping
  5. Transformation logic documentation
  6. Change impact analysis
  7. Lineage visualization tools
  8. Automated lineage alerts
  9. Regulatory inspection readiness
  10. Lineage for exception resolution
  11. Versioned lineage snapshots
  12. Cross-system correlation IDs
Module 7. Testing and Reconciliation
Validate pipeline outputs against expected TR formats and regulatory thresholds. Build automated checks that flag discrepancies early.
12 chapters in this module
  1. Test case design for TRs
  2. Mock data generation
  3. Regulatory threshold testing
  4. Completeness reconciliation
  5. Consistency checks across systems
  6. Gap detection logic
  7. False positive reduction
  8. Automated validation rules
  9. Reconciliation frequency
  10. Exception triage workflow
  11. Root cause tagging
  12. Reporting accuracy metrics
Module 8. Handling Regulatory Change
Stay ahead of ESMA guidance updates and national competent authority revisions. Build adaptable pipelines that evolve with regulation.
12 chapters in this module
  1. Monitoring ESMA publications
  2. National regulator updates
  3. Change impact triage
  4. Schema evolution strategy
  5. Backward compatibility rules
  6. Phased rollout planning
  7. Stakeholder communication
  8. Documentation updates
  9. Testing revised logic
  10. Regulatory deadline tracking
  11. Internal audit coordination
  12. Vendor update management
Module 9. Cross-Border Reporting Nuances
Navigate differences in how MiFID II is applied across EU member states. Adapt pipelines for jurisdiction-specific reporting rules.
12 chapters in this module
  1. National competent authority variations
  2. Local product exemptions
  3. Country-specific waivers
  4. Reporting thresholds by jurisdiction
  5. Local venue classification
  6. Language and format rules
  7. Currency reporting rules
  8. Tax implications by country
  9. Local regulator expectations
  10. Third country delegation
  11. Substitution reporting logic
  12. Cross-border trade flags
Module 10. Incident Response and Audit Support
Prepare for regulatory inquiries. Respond quickly with complete, accurate data and clear documentation.
12 chapters in this module
  1. Audit request intake process
  2. Data retrieval protocols
  3. TR correction workflows
  4. Defensible audit narratives
  5. Timeline reconstruction
  6. Gap analysis methodology
  7. Root cause documentation
  8. Corrective action planning
  9. Regulator communication templates
  10. Internal escalation paths
  11. Lessons learned tracking
  12. Process improvement loops
Module 11. Optimizing for Efficiency
Reduce rework and improve pipeline performance. Build systems that scale without sacrificing compliance integrity.
12 chapters in this module
  1. Pipeline performance metrics
  2. Batch size optimization
  3. Parallel processing design
  4. Error queue management
  5. Resource allocation
  6. Monitoring alert tuning
  7. Automated recovery
  8. Scalable storage patterns
  9. Cost efficiency checks
  10. Throughput benchmarking
  11. Latency reduction
  12. Reprocessing efficiency
Module 12. Ownership and Leadership in Data Compliance
Move from executor to owner. Lead the conversation on how data architecture supports regulatory resilience.
12 chapters in this module
  1. Speaking the language of compliance
  2. Documentation standards
  3. Stakeholder alignment
  4. Cross-functional collaboration
  5. Risk assessment input
  6. Vendor oversight roles
  7. Architecture sign-off authority
  8. Policy-to-implementation gap
  9. Advocating for engineering needs
  10. Mentoring junior engineers
  11. Building repeatable playbooks
  12. Influencing roadmap decisions

How this maps to your situation

  • When you’re handed a MiFID II reporting requirement and need to build it right the first time
  • When audit findings point to data gaps you could have prevented
  • When regulators ask for traceability you can’t immediately provide
  • When you’re expected to explain pipeline logic to compliance teams

Before vs. after

Before
Receiving MiFID II specs as a downstream task, translating them without full context, and building pipelines that later require rework due to audit findings or gaps.
After
Leading the design of compliant pipelines from day one, with direct command of the regulatory framework and confidence that outputs will pass audit scrutiny.

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 4-6 hours per module, designed to fit around full-time engineering responsibilities.

If nothing changes
Without structured mastery of MiFID II data requirements, engineers risk repeated rework, audit findings, and missed opportunities to lead compliance architecture decisions, keeping their role execution-only rather than strategic.

How this compares to the alternatives

Unlike generic compliance training or policy summaries, this course is built for data engineers by data engineers. It focuses on translating MiFID II into code, architecture, and pipeline logic, not abstract principles.

Frequently asked

Who is this course for?
Senior data engineers in financial services who are responsible for building or maintaining MiFID II transaction reporting pipelines.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this about policy or engineering?
It’s about engineering with policy understanding. You’ll learn how to implement MiFID II correctly in data systems, not just interpret the law.
$199 one-time. Approximately 4-6 hours per module, designed to fit around full-time engineering responsibilities..

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