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Fintech Engineering Handbook

5 days ago
  • #software-engineering
  • #fintech
  • #financial-systems
  • Introduces the Fintech Engineering Handbook, a guide on patterns for building money-handling software.
  • Targets fintech newcomers, practitioners, and outsiders to explain trustworthiness in money systems.
  • Core principles: No invented data, no lost data, no trust.
  • Money representation: avoid floating-point; use arbitrary precision, minor-units, or rational numbers.
  • Rounding strategies: explicit, business-decided, minimal; track residuals to avoid losing or inventing money.
  • Currency handling: pair amount with currency; validate codes; treat crypto distinctly; pack in a Money type.
  • FX rates: directional, time-sensitive; distinguish transactional vs reference rates; track source.
  • Ledger uses double-entry bookkeeping: immutable entries, balances derived, accounts typed (assets, liabilities, equity).
  • Timestamps: value time, booking time, settlement time; record all to preserve information.
  • Audit trails: capture what, when, who, why; event sourcing as a systematic approach; immutability required.
  • Reversals/corrections: post compensating entries; link to originals; consider reporting periods.
  • Invariants enforced by construction, runtime checks, and post-factum verification.
  • Funds reservation prevents double-spending; distinguish total vs available balance; requires strong consistency.
  • Overdrafts: intentional (credit product) vs unintentional; handle explicitly, don't clamp to zero.
  • Idempotency: use explicit keys; handle errors; validate payloads; ensure atomicity; test retries.
  • Full resumability: persist flow state; resume stalled flows; each step idempotent; roll forward or compensate.
  • External APIs: don't trust schema; expect failures; store requests/responses; consider provider redundancy.
  • Webhooks: don't assume ordering, validity, or single delivery; acknowledge fast; verify caller; persist raw payload.
  • Reliable notifications: use outbox, CDC, listen-to-yourself, or event sourcing; ensure at-least-once delivery.
  • Reconciliation: compare systems; handle missing/different data; match heuristically; fix discrepancies properly.
  • Controls: segregation of duties, four-eyes; record approvals; enforce least privilege; audit access changes.
  • Change trail: use source control; enforce reviews and pipelines; trace deployments.
  • Testing: property-based, invariant checks, generative idempotency, crash injection, round-trip, golden, backward-compatibility, production testing.
  • Appendix A: Glossary of fintech terms (accounting, money/FX, transactions, payments, trading, custody, compliance).
  • Appendix B: Example flows: crypto withdrawal, card deposit, in-app conversion with cashback.
  • Appendix C: Author background, writing process, and intent as a living document.