Enterprise FinTech Engineering for Banks, Payment Processors & Financial Platforms
Why Financial Services Requires Specialized Engineering
Financial software operates under constraints that generic IT outsourcing firms cannot reliably navigate: strict regulatory frameworks (PCI-DSS, SOC2, MiFID II, FINRA, SOX), sub-millisecond latency requirements for payment processing, zero-tolerance for data loss, and continuous compliance audit trails. FSC Software's FinTech practice maintains engineers with domain expertise in financial infrastructure — not generalists adapting to finance, but specialists who understand how money moves and why every architectural decision has regulatory implications.
Real-Time Payment Infrastructure
We architect and build high-throughput payment systems processing millions of transactions daily. Our engineering approach covers the full payment lifecycle: authorization, settlement, reconciliation, and chargeback management. We implement event-driven architectures using Apache Kafka for transaction streams, design idempotent payment APIs to prevent duplicate charges, and build circuit-breaker patterns that keep payment rails available at 99.99% uptime. Typical throughput benchmarks: 50,000+ TPS sustained, sub-100ms authorization latency at p99.
Key capabilities: multi-rail payment routing (ACH, SWIFT, SEPA, FPS, PayID), escrow and holding account management for marketplace platforms, real-time fraud scoring during authorization, multi-currency ledgers with FX rate management, and end-of-day reconciliation automation reducing manual effort by 90%.
PCI-DSS Level 1 Compliance Engineering
PCI-DSS compliance is not a checkbox — it is an architectural discipline. FSC Software engineers build compliant systems from the ground up rather than retrofitting controls. Our approach: network segmentation between cardholder data environment (CDE) and non-CDE systems, tokenization to eliminate raw PAN storage, point-to-point encryption (P2PE) for card-present transactions, and automated log aggregation meeting Requirement 10. We have delivered PCI-DSS Level 1 compliant platforms for payment gateways, marketplace operators, and subscription billing systems.
Open Banking API Development
Open banking mandates (PSD2 in Europe, Open Banking UK, Consumer Data Right in Australia) require banks and third-party providers to expose standardized APIs. FSC Software implements conformant open banking APIs, TPP (Third-Party Provider) integrations, strong customer authentication (SCA/OAuth 2.0 PKCE), and consent management systems. We've built API gateways handling 10M+ API calls per day with full audit trails for regulatory reporting. For Australian clients, we implement CDR data holders and data recipients to the ACCC technical standards.
Fraud Detection & ML Risk Scoring
We design real-time fraud detection pipelines combining rule engines with machine learning: feature engineering on transaction streams (velocity checks, geo-anomaly detection, behavioral biometrics), online ML models scoring transactions in under 20ms, and feedback loops that retrain models on confirmed fraud signals weekly. Our fraud ML architectures have achieved 94%+ detection rate with false positive rates below 0.3% — reducing chargeback ratios for clients from 1.8% to under 0.4% within 6 months.
Core Banking Modernization
Legacy core banking systems (Temenos, Finacle, FIS) constrain digital innovation. FSC Software executes modernization using the strangler-fig pattern: wrapping legacy systems with APIs while incrementally extracting functionality into modern microservices. We've executed core banking modernization projects for regional banks and credit unions, reducing operational costs by 35–50% while maintaining 100% transaction continuity. Typical timeline: 12–24 months for full modernization depending on complexity.
Regulatory Reporting Automation
Regulatory reporting (FINRA CAT, MiFID II transaction reporting, AML suspicious activity reports, FATCA/CRS filings) consumes significant operational resources. FSC Software builds automated reporting pipelines: extracting structured data from source systems, applying regulatory transformation rules, generating compliant report formats (XML, XBRL), and submitting to regulatory portals with delivery confirmation. Automation typically reduces regulatory reporting labor costs by 60–75%.
FinTech Technology Stack
Core languages: Java (Spring Boot, Micronaut), Go (for high-throughput services), Python (data/ML pipelines). Message streaming: Apache Kafka, RabbitMQ. Databases: PostgreSQL with row-level security, Redis (session/cache), Cassandra (time-series transaction data). Cloud: AWS Financial Services Competency, Azure for Banking, GCP. Security: HashiCorp Vault (secrets management), AWS KMS (encryption), OWASP API Security Top 10 controls. Infrastructure: Kubernetes on EKS/AKS, Terraform, AWS PrivateLink for inter-service isolation.
Proven FinTech Results
Our FinTech engagements have delivered: deployment cycles cut from 6 months to 2 weeks (financial services platform modernization), 68% reduction in production incidents post-microservices migration, $2.4M in revenue acceleration from faster feature delivery, and full PCI-DSS Level 1 compliance achieved within 8 months. See the full FinTech case study for details.
Engagement Models for Financial Services
We offer flexible structures matched to financial institutions' procurement requirements: Dedicated FinTech Squad (5–12 engineers, monthly retainer, NDA and SOC2-aligned data handling), Staff Augmentation for specialized roles (payment architects, compliance engineers, ML fraud engineers), and Fixed-Price compliance projects (PCI-DSS gap remediation, open banking API delivery). Reference calls with existing financial services clients available upon request under NDA.