Financial Services

Purpose-built AI and data solutions for banks, asset managers, and fintechs — combining deep domain knowledge with enterprise-grade technical delivery. We understand the regulatory landscape, the data challenges, and the operational constraints of financial institutions.

Financial services firms face a unique combination of demands: sophisticated analytical requirements, complex regulatory obligations, real-time operational constraints, and legacy infrastructure that must be modernized without disrupting critical systems. We help organizations navigate all of it.

Solution Areas

• Fraud detection and financial crime analytics platforms — real-time transaction scoring, anomaly detection, and network analysis for AML/KYC
• Credit risk model development: PD/LGD/EAD models, stress testing frameworks, CECL/IFRS 9 implementations, and model validation
• Regulatory reporting automation: CCAR, DFAST, Basel IV data pipelines, and automated report generation with audit trails
• Customer intelligence platforms: CLV modeling, behavioral segmentation, next-best-action systems, and personalization engines
• Market data infrastructure and quantitative analytics platform engineering for front-office and risk teams
• AI governance and model risk frameworks tailored for OCC, Federal Reserve, and CFPB examination requirements
• Digital transformation and core system modernization strategy for banks and credit unions

Regulatory Expertise

We bring direct experience with the regulatory requirements that govern AI and analytics in financial services — including SR 11-7 model risk management, OCC model governance expectations, CFPB fair lending requirements, and emerging AI-specific guidance from US and international regulators.