Banking platforms, payment processors, fintech infrastructure, real-time fraud detection. We build for the audit, the regulator, and the trader — at the same time. Tier-1 banks, payments processors at 10⁹ events/day, hedge-fund infrastructure with sub-millisecond decision budgets.
Finance engineering operates with the lowest tolerance for error and the highest scrutiny. Every system needs to be auditable from day one.
The new requirements (multi-factor auth at every CDE boundary, continuous monitoring) demand engineering changes, not just policy updates. We've cleared 4.0 audits with zero material findings.
FedRAMP, GLBA, FINRA, BCBS 239 (risk data aggregation), Basel III. Audit-grade event sourcing so historic state reconstruction is queryable, not archaeological.
Fraud scoring at <10ms P99. Trading paths at single-digit microsecond budgets. Settlement systems at five-nines. We've shipped all three.
Active-active across regions for fraud, payments, settlement. RTO/RPO measured in seconds, not hours. Chaos engineering as standing practice, not an annual drill.
Event-sourced ledgers, audit-grade transaction systems, real-time fraud and risk platforms.
PCI-scope-segmented Kubernetes platforms, multi-region active-active deployments, chaos-engineering practice.
Real-time fraud scoring, document understanding for KYC/AML, predictive credit decisioning with explainability for regulator-facing decisions.
BigQuery / Snowflake risk data warehouses, Salesforce-driven enterprise sales / contract lifecycle, regulator-cleared cloud architectures.
PCI scope reduction via tokenization, zero-trust architecture for trading floors, SIEM / detection engineering for SOCs.
Engineering OKR rollouts at scale, post-merger technology integration, regulatory program leadership.
Names anonymized.
30-minute call with a senior architect who's shipped to PCI / SOX / Basel-regulated production. No slides.