Fintech & Banking
Examiner-ready lineage and fraud metrics you can defend. Self-host in your VPC, trace raw messages to regulatory reports, and certify exposure KPIs once.
Executive summary
Deploy Metroflow in your VPC. Map transaction and fraud pipelines end-to-end. Certify fraud-rate and exposure metrics in 60 days with exportable lineage for examiners.
Banks and fintechs face examiner requests, fraud model audits, and exposure metrics that must reconcile across risk, finance, and ops. Metroflow crawls metadata only (schemas, job names, manifests), so sensitive lineage stays inside your perimeter while you answer "where did this number come from?" in minutes.
What broken lineage costs you
Typical patterns at Fintech & Banking organizations. Ranges, not guarantees.
Examiner lineage request
2–6 weeks of manual tracing across siloed tools
With Metroflow: One-click export from raw_swift_messages to regulatory_report_AML with cited path.
Fraud model audit
Features untraceable; model risk cannot defend provenance
With Metroflow: Feature DAG from transaction tables to scoring models, exportable for regulators.
Exposure metric dispute
Risk, finance, and ops report different numbers in committee
With Metroflow: Single certified exposure KPI with owner, formula, and full lineage.
Cross-border data residency
Cannot use SaaS lineage tools on SWIFT and core banking metadata
With Metroflow: Self-host in VPC. Metadata-only crawls: no production rows leave the network.
Metadata only. Metroflow crawls schemas, job names, manifests, and dashboard definitions. Your production data rows never leave your network.
Your stack, one graph
Sector-specific constraints. Metroflow sits above the data path: unify compliance, velocity, and trusted metrics.
Trace raw_swift_messages → stg_transactions → fct_fraud_features → regulatory_report_AML. When extract_swift fails, see every downstream risk dashboard and regulatory export in one blast-radius query.
Where are you today?
Most teams land at L1 or L2. Target L4 in 90 days.
Quick self-check
- Answer "what breaks if X fails?" in under 15 minutes?
- Cross-functional teams share one definition of core KPIs?
- Incidents include downstream dashboard impact without Slack archaeology?
- Changes include cross-layer impact checks before merge?
- Named owners for certified metrics and critical pipelines?
0–2: Start Week 1 connect · 3–4: Certify metrics · 5: Add change gates
Choose your path
Every org is different. Pick the track closest to your context.
Retail / digital bank
Core banking + card rails + cloud warehouse
Priority: Certify first: fraud-rate, exposure, AML transaction volume
Neobank / payments fintech
Real-time fraud scoring + batch regulatory reporting
Priority: Certify first: feature lineage for model risk + exposure KPI
Multi-entity holding company
Separate legal entities, shared risk platform
Priority: Certify first: cross-entity exposure rollup with entity-level lineage
Who owns what
Assign decision rights up front. Metric fights are governance problems.
| Function | Owns | On Metroflow |
|---|---|---|
| Model risk / compliance | Fraud models, regulatory reports, examiner responses | Own certified fraud-rate and AML lineage exports. Company Brain for examiner Q&A. |
| Risk analytics | Exposure metrics, stress scenarios | Certified exposure KPI. Blast-radius on upstream pipeline failures. |
| Data platform | VPC deployment, orchestration, warehouse | Register DAGs and dbt models. On-call runbook with downstream impact. |
| Finance / treasury | Reconciliation with risk numbers | Self-serve lineage proof. Same certified exposure ID as risk committee. |
30 · 60 · 90 day rollout
A program with gates, not just a connector checklist.
VPC deploy & first trace
- Self-host Metroflow in VPC
- Connect warehouse, dbt, orchestration, BI
- First lineage export: raw_swift_messages → regulatory_report_AML
Certify risk KPIs
- Publish fraud-rate and exposure metric specs
- Link fraud feature tables to model risk registry
- Examiner export template in compliance playbook
Operationalize audits
- Quarterly lineage refresh automated
- Pre-merge impact for regulatory model changes
- Company Brain for compliance self-serve
Incident runbook
When extract_swift is in trouble. Follow this timeline.
Airflow alert or stale regulatory_report_AML. Open Metroflow, search extract_swift.
Paste Slack template. Tag model risk and finance with affected report list.
Fix connector or replay batch. Platform monitors VPC crawler health.
Re-run lineage. Document for audit log if filing deadline at risk.
Slack template
Metric certification pack
Copy into your governance doc. One definition. One owner. Full lineage.
Certified fraud-rate (daily)
Certify first- Formula
- Confirmed fraud transactions / total settled transactions, by calendar day UTC, entity scope.
- Source
raw_swift_messages→stg_transactions→fct_fraud_events
- Owner
- Model risk + Risk analytics
- Lineage
- Ingest → features → fraud_score_model_v2 → Risk Dashboard
Total exposure (daily)
Certify first- Formula
- Sum of net open exposure by counterparty, USD equivalent, end-of-day.
- Reconciliation
- Must match finance treasury sheet within 0.1%.
- Owner
- Risk analytics + Finance
- Lineage
core_banking_positions→fct_exposure→ Board risk slide
AML report freshness
Operational- Formula
- Hours between last successful extract_swift run and regulatory_report_AML refresh.
- Threshold
- Alert if > 6h during filing window.
- Owner
- Compliance + Data platform
Daily workflows
Four situations you will hit every week.
Examiner lineage request
- Search path
raw_swift_messages to regulatory_report_AML.
- Export
Cited lineage report for audit file.
- Brain Q&A
Answer follow-up questions with citations.
Fraud model audit prep
- Feature DAG
Trace every input to source tables.
- Compare versions
Lineage diff between model releases.
- Export
One-click doc for model risk committee.
Exposure metric dispute
- Open spec
Formula, exclusions, FX policy.
- Trace both
Risk dashboard vs finance sheet paths.
- Certify winner
Deprecate rogue explores.
Pre-merge regulatory change
- Impact query
Affected AML and risk reports.
- Compliance sign-off
Required before merge.
- Update export
Refresh examiner template.
Copy-paste queries
Company Brain or lineage search. Context included.
Glossary
Plain English. "Why it matters" tells you when to care.
Outcomes checklist
Measure if the program is working.
| Success metric | 90-day target |
|---|---|
| Examiner lineage request turnaround | < 1 business day |
| Risk and finance on certified exposure KPI | 100% |
| Fraud models with documented feature lineage | 100% production models |
| Regulatory reports with end-to-end lineage | 100% tier-1 filings |
Ready to put this playbook to work?
Week 1: connect your stack and run your first blast-radius query. Week 4: certify your first KPI. Week 8: operationalize the runbook.