Industry

Finance & Banking

Data and AI solutions for financial institutions navigating regulatory complexity, competitive pressure, and digital disruption.

$2.1B

in combined assets under management across client organizations

regulatory reporting systems modernized for banking clients

40%

average reduction in fraud false-positive rates using ML-based detection

Challenges We Solve

Regulatory compliance data management (BCBS 239, SOX, CCAR, Basel III)

Fragmented data across core banking, trading, CRM, and risk systems

Real-time fraud detection and transaction monitoring at scale

Customer 360 and personalized financial product recommendations

Risk model governance and model validation (SR 11-7)

Legacy data warehouse modernization under time and budget pressure

Our Approach

Qcentra brings financial services-specific data expertise to every engagement. We understand the regulatory environment — BCBS 239 lineage requirements, SOX data controls, CCAR scenario modeling — and design data architectures that satisfy compliance requirements without sacrificing analytical agility. Our AI/ML work in financial services focuses on high-stakes regulated use cases where explainability and auditability are non-negotiable.

We design data architectures that satisfy compliance requirements without sacrificing analytical agility. Every AI/ML solution we deliver in financial services is built with explainability and auditability as first-class requirements — not afterthoughts.

Relevant Services

Data Strategy & Architecture Data Engineering & Integration Artificial Intelligence & Machine Learning

Ready to Tackle Your Finance & Banking Data Challenges?

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