Financial Data Intelligence
How financial connectivity, transaction signals, and behavioral analysis power risk-aware lending, onboarding, and monitoring.
Who this is for
- Lenders, neobanks, and fintech builders.
- Risk and analytics teams.
- Operations teams designing transaction-aware policies.
Lessons
1. Connectivity sources
- Bank account linking and statements.
- Mobile money providers and wallets.
- Card and payment-network signals.
- Public registries and external risk data.
2. Transaction enrichment
Raw transactions become useful only with categorization, merchant identity, recurrence detection, and counterparty resolution.
3. Income and affordability
Income detection, expense classification, and stability analysis support credit decisions without manual document review.
4. Behavioral risk
- Velocity changes.
- Counterparty churn.
- Cash-out and structuring patterns.
- Cross-rail movement.
5. Compliance posture
Financial data is regulated. Consent, retention, residency, and minimum-purpose principles must be baked into the workflow.
Applied scenarios
- A short-term loan decision driven by mobile money cash flow.
- A neobank onboarding with bank-link verified income.
- A monitoring rule that flags rapid cross-rail outflows.
Review checkpoint
You should be able to:
- List the connectivity sources for a target market.
- Describe how transaction enrichment changes the decision space.
- Explain why consent and retention are first-class concerns.