Description

A focused course, tailored for you

OpRisk Technology Platform for Investment Banking

Build the loss event schema, KRI pipeline, and RCSA automation that APRA reviews don't need to fix.

The quarterly APRA OpRisk submission requires four manual adjustment rounds before it can go out. Each round traces to the same source: loss events coded on desk terms, not regulatory terms, with no automated bridge between the two inside the platform.

$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

Operational risk technology at investment banks is typically assembled from three or four systems that were never designed to talk to each other. The incident management platform codes events one way. The loss event database codes them a second way. The KRI tracker pulls data manually from whatever the desk sends. The RCSA lives in a workshop spreadsheet that is updated once a year. When APRA asks for a submission, someone spends two weeks reconciling these sources before the first number is validated. This course rebuilds the stack from the data model outward, so the submission is a report, not a rescue operation.

What you walk away with

Design a loss event data model that captures desk-level detail and maps to APRA and Basel taxonomy without a manual translation layer.
Build a KRI pipeline that reads from source systems automatically, removing desk email submission as the single point of failure for indicator accuracy.
Implement an incident management workflow with consistent causal coding that feeds usable scenario analysis inputs without a post-submission cleaning sprint.
Produce an APRA APS116 regulatory submission that passes first-review without manual adjustment.
Deliver an operational risk committee pack where every dashboard figure is traceable to a source-system extract, not a spreadsheet calculation.

The 12 modules

Module 1. The OpRisk Technology Stack for Capital Markets

Maps the full platform architecture a Tier-1 investment bank actually needs: incident management, loss event database, KRI platform, RCSA tooling, scenario analysis engine, and regulatory reporting layer. Covers how these components should connect, which are commonly built in-house versus on commercial platforms, and where fragmentation typically breaks the submission cycle. Sets the blueprint the rest of the course builds toward.

Module 2. Loss Event Data Model Design

Designs the loss event schema from first principles: event identifier, occurrence and discovery date, business line, event type category using Basel Level 1 and Level 2 taxonomy, causal code, gross loss, recoveries, and the near-miss flag. Covers how to structure the schema so desk-facing capture fields map automatically to regulatory reporting fields, eliminating the translation layer that causes manual adjustment before every APRA submission.

Module 3. Incident Workflow and Causal Coding

Builds the incident intake workflow that produces consistently coded events: entry form design, mandatory field validation, causal category taxonomy that aligns with both front-office language and regulatory classification, escalation thresholds, and the review and close workflow. Covers how to establish consistent causal coding across multiple business lines so scenario analysis inputs are clean without post-event reclassification rounds.

Module 4. KRI Pipeline Architecture

Replaces manual desk KRI submissions with automated source-system extraction. Covers identifying the right source system for each indicator, building extraction jobs that run on schedule, validation logic that flags anomalies before the KRI lands in the dashboard, and the threshold and alert configuration that makes the dashboard actionable rather than a retrospective record. Includes handling indicators where no source system exists and desk input is unavoidable.

Module 5. RCSA Automation and Continuous Maintenance

Moves the Risk and Control Self-Assessment from an annual workshop spreadsheet to a continuously maintained data asset. Covers risk register schema, control effectiveness rating logic, RCSA-to-KRI linkage so control assessments update when indicator trends shift, and the change management workflow that keeps the RCSA current without requiring a full workshop cycle. Addresses how to version RCSA snapshots for audit purposes.

Module 6. OpRisk Capital: Standardised Measurement Approach

Implements the Standardised Measurement Approach for operational risk capital as a calculable output from the platform's loss event database. Covers the Business Indicator Component and Internal Loss Multiplier calculation, the loss event data requirements the SMA imposes, and how to build the capital calculation as a scheduled job running from the same loss event schema used for regulatory reporting rather than a separate manual extract.

Module 7. APRA APS116 Reporting Build

Builds the APRA APS116 operational risk regulatory submission as a platform output, not a spreadsheet exercise. Covers the ARF 116 form structure, the loss event data quality requirements APRA applies during review, the KRI and scenario analysis disclosure sections, and how to build the submission package as a templated report drawn from the platform's data model so no manual adjustment is needed between data extraction and regulatory lodgement.

Module 8. Scenario Analysis Tooling

Builds the operational risk scenario analysis process as a structured platform capability. Covers scenario identification methodology, scenario library schema, facilitated workshop input capture, severity and frequency distribution parameterisation, and the scenario-to-capital linkage calculation. Includes how to store scenario outputs alongside loss event history so the combined dataset supports disclosure requirements without a separate manual compilation before each submission.

Module 9. Data Quality and Lineage for OpRisk

Builds the data quality controls that keep the OpRisk platform credible under regulatory scrutiny. Covers loss event completeness checks, duplicate detection, causal code consistency validation, KRI data lineage documentation from source system to dashboard, and the audit trail design that lets an examiner trace any reported figure back to its source extraction without asking the technology team for a manual reconstruction.

Module 10. Integration Architecture for OpRisk Data Feeds

Connects the OpRisk platform to the operational systems it needs to read from: HR systems for people-risk indicators, finance ledgers for loss recovery reconciliation, change management systems for change event linkage, and front-office trading and settlement systems for transaction-level event capture. Covers integration patterns that avoid point-to-point fragility, handling system outages without losing event data, and the monitoring layer that confirms feeds are running before submission day.

Module 11. Commercial Platform vs Custom Build: Decision Framework

Evaluates the build-versus-buy decision for each OpRisk technology component in a Tier-1 capital markets context. Covers where commercial GRC platforms deliver sufficient coverage, where they consistently fall short for investment bank requirements including KRI automation and APRA-specific reporting formats, and the composable architecture approach that uses commercial platforms for their strengths and custom components where regulatory specificity demands it.

Module 12. OpRisk Committee Reporting and CRO Dashboard

Builds the board and committee reporting layer that the Chief Risk Officer and Operational Risk Committee need to discharge their governance obligations. Covers dashboard design for KRI trend reporting, heat map construction from RCSA data, loss event trend analysis with benchmarking, and the one-page OpRisk summary the board receives. Includes how to build these outputs as scheduled reports from the platform data model so they update automatically rather than requiring manual preparation before each committee meeting.

How this addresses your situation

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

If your APRA submission currently requires manual adjustment before lodgement, modules 2, 3, and 7 are the build sequence that eliminates it.

If your KRI dashboard is populated by desk email submissions rather than system feeds, module 4 is the architecture rewrite that changes that.

If your scenario analysis runs as an annual workshop exercise disconnected from your loss event history, modules 8 and 9 connect them.

If your CRO receives a manually assembled committee pack each quarter, module 12 is the reporting layer that automates it.

What you get with this course

12 written modules covering the full OpRisk technology stack for capital markets, from loss event schema through APRA regulatory reporting.
Downloadable templates for loss event data model schema, KRI pipeline specification, RCSA register structure, and APRA APS116 submission checklist.
Worked examples using capital markets-specific risk event types throughout: trading errors, settlement fails, system outages, conduct events.
The hand-built implementation playbook, delivered alongside course access, tailored to the OpRisk technology build priorities this course surfaces for your environment.

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

Course access provisioned within 24 hours of purchase.

Hand-built implementation playbook delivered alongside course access within 24 hours.

Before and after

Before

Quarterly APRA submission requires two weeks of manual reconciliation across four systems. Loss events are coded inconsistently across business lines. KRI inputs arrive by email from desks the morning before the pack is due. The RCSA is a spreadsheet updated once a year in a workshop.

After

Loss events enter one schema that speaks both desk language and regulatory language. KRI feeds run automatically from source systems and flag anomalies before dashboard publication. APRA submission is a scheduled report, not a rescue operation. The CRO dashboard updates from the platform without manual preparation.

What happens if you do not address this

The gap between what the platform captures and what the regulator expects does not close on its own. Each manual adjustment cycle before submission is evidence of a data model problem that grows more expensive to fix as the loss event history gets longer and regulatory reporting requirements get more specific.

Who it is for

Senior Managers and technology leads running operational risk platforms at Tier-1 investment banks and capital markets firms. You own the systems that capture risk events, track key indicators, and produce the regulatory submissions your CRO signs off on. You know what the platform should do. The challenge is closing the gap between how the desk captures data and how the regulator expects it reported.

Who this is NOT for. Operational risk analysts doing manual assessments without technology accountability. Risk consultants advising on methodology rather than building platforms. Retail or regional bank practitioners where APRA reporting complexity and system fragmentation are lower.

How it arrives

Text-based course in the Art of Service learning environment, plus downloadable templates and worked examples for every module, plus the hand-built implementation playbook delivered alongside course access.

Time investment. 12 modules, typically 45-60 minutes each. Most Senior Managers complete the course over two to three weeks, working through the modules in the sequence that matches their current build priority.

Why $199 is the right number

Commercial GRC platforms address RCSA and workflow automation but do not solve the KRI automation or APRA-specific reporting problems this course covers. Internal technology teams typically build these components from scratch, which takes 12-18 months and produces results that pass the first audit but require rework at the second. This course condenses the design decisions that take the most time to discover.

FAQ

Is this relevant to APRA specifically or is it generic OpRisk content?

The regulatory reporting modules are built around APRA APS116 and the ARF 116 submission format. The data model and KRI pipeline modules apply to any Tier-1 capital markets environment, including those with Basel III reporting obligations alongside or instead of APRA.

Does this cover the technology build or the methodology?

Both, but the emphasis is the technology build. Each module produces a schema, an architecture decision, or a specification that goes directly into a build brief or a vendor evaluation. The methodology underpins the design but is not the output.

We have an existing platform. Is this useful for modernisation or only greenfield builds?

Most useful for modernisation. The modules on loss event data model, KRI pipeline architecture, and APRA reporting are structured as migration decisions as much as greenfield designs, because the starting point for most investment banks is a fragmented stack, not a blank canvas.

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.