AI Platform Engineering for Financial Services: Meeting MiFID II, DORA, and AI Act

Banks and financial institutions deploying AI face a unique regulatory stack: MiFID II for algorithmic trading, DORA for digital operational resilience, the AI Act for AI-specific requirements, and GDPR for data protection. Building an AI platform that satisfies all four requires architectural decisions most cloud-native approaches ignore.

The Financial Services AI Regulation Stack

• MiFID II — Algorithmic trading systems require real-time monitoring, kill switches, and annual self-assessments
• DORA — Digital operational resilience: ICT risk management, incident reporting, third-party risk, resilience testing
• AI Act — Credit scoring and insurance pricing are high-risk AI use cases requiring full compliance
• GDPR — Customer data protection, automated decision-making rights (Article 22)
• EBA/ESMA Guidelines — Supervisory expectations for AI/ML in financial services

Platform Architecture for Financial AI

Model Risk Management Framework

Every model needs a risk tier classification (SR 11-7 equivalent for EU). The platform enforces validation requirements based on tier: Tier 1 models require independent validation, challenger models, and ongoing monitoring. The infrastructure makes this automated, not manual.

Explainability Infrastructure

GDPR Article 22 gives customers the right to contest automated decisions. Your inference infrastructure must capture and serve explanations — SHAP values, feature importance, counterfactuals — alongside every credit decision. This isn't a nice-to-have; it's a legal requirement.

DORA-Compliant Deployment

DORA requires ICT systems to be resilient. For AI platforms, this means: multi-region deployment with automated failover, chaos engineering for ML serving infrastructure, documented recovery procedures for model serving outages, and regular resilience testing including AI-specific scenarios.

Why Generic MLOps Platforms Fail in Finance

Generic MLOps platforms (SageMaker, Vertex AI, Databricks) provide model training and serving. They do NOT provide: regulatory model inventory management, automated SR 11-7 documentation, DORA-compliant resilience testing, MiFID II kill switch integration, or GDPR Article 22 explanation serving. These are the gaps an AI infrastructure partner fills.