Description

A focused course, tailored for you

Building a Trading-Data Platform for Bank Regulator Reporting (BCBS 239 + FRTB + APRA)

Build the trading-data platform that satisfies BCBS 239, FRTB, and APRA reporting in 12 weeks. Lineage + quality + aggregation + retention + supervisor engagement.

Bulge-bracket banks face escalating trading-data expectations: BCBS 239 risk data aggregation, FRTB trading-book infrastructure, MAR market-abuse surveillance, APRA CPS 232 and CPS 234 for APAC. Data VPs who build the integrated trading-data platform that satisfies all regulators win the senior work. Here is the 12-week build.

$199 one-time

Tailored to your situation. Access within 24 hours. 30-day money-back.

Includes a hand-built implementation playbook delivered alongside course access, generated for your specific situation.

Why this course

Trading-data infrastructure at bulge-bracket banks must satisfy a stacked set of regulator expectations. BCBS 239 requires complete data lineage from source systems through risk aggregation to board reporting, with quality controls at every stage. FRTB demands trading-book-specific data infrastructure that supports both IMA (Internal Model Approach) and SBA (Standardised Approach) capital calculations. MAR (Market Abuse Regulation) and equivalent national surveillance regimes require complete order-book reconstruction and trade-data retention. APRA CPS 234 information security and CPS 230 operational resilience apply to APAC operations.

Data VPs that can build the integrated trading-data platform serving all these regulators take the senior work. VPs running data programmes that satisfy one regulator but fail another lose ground.

This course teaches the 12-week build of an integrated trading-data platform: BCBS 239 lineage-and-quality framework, FRTB trading-book infrastructure, MAR surveillance data, retention policy, supervisor engagement, and the cross-regulator data architecture. Twelve modules with deliverables. Plus a hand-built implementation playbook for your specific bank.

What you walk away with

A documented BCBS 239 lineage framework.
An FRTB-compliant trading-book data infrastructure.
A MAR (and equivalent) market-abuse surveillance data architecture.
A retention policy aligned across regulators.
A supervisor engagement protocol.
A cross-regulator data architecture reference.
A 12-week build plan.

The 12 modules

Module 1. Trading-data regulator landscape 2026

Detailed walkthrough of BCBS 239 Principles for Effective Risk Data Aggregation and Risk Reporting, FRTB (Fundamental Review of the Trading Book) infrastructure expectations, MAR (Market Abuse Regulation) and equivalent (US SEC Rule 613 CAT, MAS securities, ASIC), APRA CPS 232 BCM and CPS 234 Information Security, and the international peer-regulator framework. The integrated landscape data VPs must address.

Module 2. BCBS 239 lineage framework

Build the BCBS 239 lineage framework: column-level lineage capture (OpenLineage, Marquez, Atlan, Datahub), source-system-to-risk-aggregation traceability, transformation-step documentation, lineage visualisation for supervisor demonstrations, and the lineage maintenance model. Three lineage framework patterns from peer banks.

Module 3. BCBS 239 data quality framework

Build the BCBS 239 data quality framework: contract-level quality assertions (completeness, accuracy, timeliness, integrity, consistency), test orchestration (Great Expectations, dbt tests, Soda, Monte Carlo, Bigeye), failure-handling, supervisor-facing quality dashboards, and the quality-incident escalation. The framework that satisfies Principle 3 (Accuracy and Integrity).

Module 4. FRTB trading-book infrastructure

Build the FRTB infrastructure: trading-book data model, IMA (Internal Models Approach) data requirements (modellable vs non-modellable risk factors, NMRF treatment), SBA (Standardised Approach) data requirements, capital-calculation data pipeline, real-price-observability tracking, and the desk-by-desk infrastructure model.

Module 5. MAR market-abuse surveillance data

Build the MAR surveillance data architecture: order-book reconstruction infrastructure, trade-data retention (5-7 years depending on jurisdiction), surveillance-rules engine integration (Nasdaq Smarts, Nice Actimize, in-house), false-positive optimisation, suspicious-transaction-report (STR) workflow, and the regulator-data-request fulfillment. Three surveillance architecture patterns.

Module 6. Retention policy aligned across regulators

Build the retention policy: BCBS 239 retention expectations (board-relevant data 7+ years), FRTB retention (capital-calculation data 5+ years), MAR retention (order-book reconstruction 5-7 years), GDPR / CCPA-aligned customer data retention, e-discovery considerations, and the cross-regulator alignment model. The policy that satisfies all regulators without contradiction.

Module 7. APRA CPS 234 information security integration

Build the APRA CPS 234 integration: information-assets register, information security capability assessment, incident reporting alignment (72-hour material incident notification), control testing programme, and the board-level reporting. The integration for APAC banking operations.

Module 8. Cross-regulator data architecture

Build the cross-regulator data architecture: single source of truth for regulator data, federation patterns across regulatory regimes, multi-jurisdiction deployment with data residency, sovereign-cloud considerations (for EU, China, etc.), and the integration with broader bank data platform. The architecture that prevents duplicate data infrastructure per regulator.

Module 9. Supervisor engagement protocol

Build the supervisor engagement protocol: Fed engagement (US data and SR letters), ECB SREP engagement (EU), PRA engagement (UK), APRA engagement (Australia), MAS engagement (Singapore), FINMA engagement (Switzerland), and the integration with broader supervisory engagement. The engagement that protects supervisory relationship.

Module 10. Data platform technology stack

Build the data platform technology stack: data-warehouse + lake (Snowflake, Databricks Lakehouse, BigQuery, Redshift), streaming (Kafka, Flink), catalog (Polaris, Unity, Atlan, Datahub), governance (Collibra, Informatica), observability (Monte Carlo, Bigeye), and the cost-model integration. Three technology-stack patterns from peer banks.

Module 11. Executive and board engagement

Build the executive and board engagement: CDO partnership, CRO partnership (BCBS 239), CCO partnership (MAR), CFO partnership (FRTB), COO partnership (CPS 230), and the board-of-directors reporting cadence. Data-platform metrics the board reads: BCBS 239 maturity, FRTB infrastructure readiness, surveillance-rule effectiveness, supervisor-engagement status.

Module 12. Your 12-week build plan

Week-by-week plan with weekly deliverables. Weeks 1-2: regulator landscape + BCBS 239 lineage framework. Weeks 3-4: BCBS 239 data quality + FRTB trading-book infrastructure. Weeks 5-6: MAR surveillance data + retention policy. Weeks 7-8: APRA CPS 234 integration + cross-regulator architecture. Weeks 9-10: supervisor engagement + technology stack. Weeks 11-12: executive engagement + first programme review. Deliverable: integrated trading-data platform programme.

How this addresses your situation

Specific modules that map to what you said you are dealing with.

Module 1 covers the regulator landscape.

Modules 2 to 6 produce BCBS 239 lineage, BCBS 239 quality, FRTB, MAR, and retention.

Modules 7 to 8 cover APRA integration and cross-regulator architecture.

Modules 9 to 10 cover supervisor engagement and technology stack.

Module 11 covers executive engagement.

Module 12 covers the 12-week build plan.

What you get with this course

The 12-module course delivered as text plus downloadable templates.
Templates for BCBS 239 lineage framework, BCBS 239 data quality framework, FRTB trading-book infrastructure, MAR market-abuse surveillance data architecture, retention policy, APRA CPS 234 integration, cross-regulator data architecture, supervisor engagement protocol, technology stack, executive engagement.
A hand-built implementation playbook generated for your specific bank.
Three worked examples of integrated trading-data platforms at peer banks.
Scripted talking points for the supervisor engagement.

What you will have in hand by Day 1, Week 1, Month 1

Day 1: Regulator landscape mapping completed.

Week 4: BCBS 239 lineage + data quality framework built.

Week 8: FRTB + MAR data infrastructure operational.

Week 12: Integrated platform programme in operation.

Before and after

Before

Your bank runs separate data infrastructure for BCBS 239 risk reporting, FRTB capital, MAR surveillance. Supervisor engagements address each regulator separately. Duplicate effort and inconsistent answers across regulators.

After

An integrated trading-data platform is operating. Lineage covers source to board report. Quality controls are active at every stage. FRTB infrastructure supports IMA and SBA. MAR surveillance reconstructs order books. APRA CPS 234 is integrated. Supervisor engagements use coherent data.

What happens if you do not address this

Bulge-bracket banks running fragmented trading-data infrastructure face escalating supervisor findings, increased capital add-ons, and operational restrictions. Integrated platforms become competitive necessities.

Who it is for

For data VPs, data architects, trading-tech leaders, and CDO offices at bulge-bracket banks and large universal banks.

Who this is NOT for. Pure research roles. Firms with no trading desk. Pure technology firms.

How it arrives

Text-based course via LMS, plus downloadable templates and the hand-built implementation playbook.

Time investment. Roughly 24 hours of reading and 300 to 600 hours of team effort across the 12-week build.

Why $199 is the right number

External trading-data consultants charge $1M-$5M for integrated platform builds. Big4 risk advisory engagement runs $2M-$8M. Specialist BCBS 239 consultants charge $500K-$2M. $199 buys the focused playbook plus the implementation document for your specific bank.

FAQ

Will this replace hiring a trading-data consultant?

Partially. It teaches the platform build. You may still want specialist input for NMRF treatment under FRTB.

What if my bank has limited APAC operations?

Module 7 covers selective APRA integration for limited operations.

Does this cover BCBS 239 self-assessment expectations?

Module 2 covers self-assessment alignment.

What about Section 165 (Dodd-Frank stress testing data) overlap?

Module 1 covers DFAST data requirements.

What is in the implementation playbook for me specifically?

BCBS 239 lineage framework tailored to your specific bank's source systems; FRTB infrastructure matched to your desk structure; a 12-week build plan.

30-day money-back guarantee. If after a week of working through the materials this is not what you needed, reply to the receipt email and a full refund is processed. No questions, no forms.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.