Financial Data Management Services for Banking & Fintech
Financial data management is the process of integrating, governing, and quality-assuring data so it is accurate, auditable, and AI-ready. Accedia has delivered this for regulated banks and fintechs for 13+ years, covering governed pipelines, reconciliation controls, and full audit traceability.
Built for Banking & Fintech Data Decision-Makers
Accedia’s financial data management services are built for technology and data leaders in complex financial environments. Typical stakeholders and use cases include:
CIOs and CDOs needing a partner for banking data quality management
Heads of Data seeking data governance and regulatory compliance solutions
CTOs building an AI-ready data foundation for financial projects
VPs of Engineering whose data pipelines are subject to regulatory review
Accedia's Financial Data Management Services
Data Readiness Assessment
Accedia maps your data architecture against reporting, compliance, and AI requirements, identifying gaps and defining a clear path forward.
AI-Ready Analytics & Insights
Reconciled datasets and governed pipelines for AI-driven forecasting, risk analysis, and credit decisioning.
Data Integration & Unification
Core banking, payments, CRM, ERP, and risk systems unified into a single, governed financial data platform where data is consistent and ready to use.
Data Security & Compliance
Encrypt sensitive financial data, enforce role-based access, and align with GDPR, DORA, PSD2/PSD3, and ISO 27001 to support reliable AI-powered fraud detection.
Financial Data Governance
Ownership defined, every data point traceable from source to report. Built to satisfy internal audit, regulatory review, and AI production requirements.
Data Quality & Reconciliation
Automated validation embedded directly into banking data flows, catching reconciliation breaks before they reach reporting or AI systems.
Among Our Partnerships & Awards
More AIRecognitions
- Most Innovative Data-Driven Transformation: Winner at the A-team Innovation Awards
- Technology Partner of the Year: Finalist at the 2025 International Compliance Awards
- AI/Digital Champion of the Year: Winner at the 2025 GSA Awards
- Best FinTech for RegTech and Financial Compliance: Finalist at The FinTech Awards
- Best Use of Tech in Combatting Fraud: Finalist at the PayTech Awards UK
- Best DevOps Security Tool (DevSecOps Framework for Financial Fraud Prevention): Finalist at the Computing DevOps Excellence Awards
Unified Data Platform Giving Andaria a Single Source of Truth
Andaria was running its entire finance operation on ERP exports and Excel files - manual, fragmented, and harder to scale. Accedia built a unified Azure-based data platform that gave finance and operations a single source of truth. Month-end reporting is now automated, and partner billing scales to higher volumes without adding headcount. As a result, teams spend less time reconciling and more time on decisions.
Read Andaria’s Full Case StudyData Engineering for AI Readiness
AI initiatives in banking fail when data is inconsistent, incomplete, or unauditable. Here's how our data engineers prepare financial data for AI production by structuring, reconciling, and governing it before models go live.
01
Scope AI use cases and data requirements
02
Build governed data pipelines
03
Implement automated quality and reconciliation controls
04
Establish governance and traceability
05
Monitor and scale continuously as AI use cases expand
How Governed Financial Data Accelerates AI
30%
Faster AI Model Deployment
Eliminating data prep debt to accelerate AI model deployment.
25%
Forecasting Accuracy Improved
Automating reconciliation and standardizing data to improve forecasting accuracy.
20%
Credit Risk Exposure Reduced
Using ML credit scoring and real-time data to reduce credit risk exposure.
Engineering Manager
Bozhidar Goranchev
Bozhidar Goranchev is an Engineering Manager at Accedia, leading delivery for banking and fintech software engagements. He oversees cross-functional teams building data platforms, automated reconciliation pipelines, and audit-ready data infrastructure for banks and fintechs across the UK and US.
Our Technology Capabilities
Cloud Providers
Data Platforms
Data Integration
Storage & Databases
Analytics & AI
Why Choose Accedia For Your Financial Data Management Project
1
Compliance Built Into the Design
Data platforms designed to meet GDPR, PSD2/PSD3, DORA, AML, and audit standards.
2
AI Data Readiness
50+ AI projects delivered, with data foundations proven to improve fraud detection, credit risk, and forecasting accuracy.
3
Certified Across Leading Cloud and Data Platforms
Delivery on Microsoft Azure, AWS, Google Cloud, and Azure Databricks for regulated banking environments.
4
Deep Banking and Fintech Expertise
13+ years building and governing data platforms for banks and fintechs across the UK and US.
5
91% Client Retention Rate
Long-term partnerships with banks and fintechs who return for subsequent engagements
Discuss Your Financial Data Management Project
Tell us about your challenges and what you want to enable with data. We’ll follow up to schedule a no-obligation consultation and outline the most effective next steps.
During the consultation, you'll get:
- Meeting with a financial data consultant
- Review of your current data architecture and compliance context
- Recommended starting point and engagement model
FAQs
What is financial data management?
Financial data management is the process of integrating, governing, and quality-assuring financial data so it is accurate, consistent, and ready for reporting, analytics, and AI. This includes integrating data from multiple sources, applying reconciliation and quality controls, resulting in standardized metrics and full lineage.
How to choose a partner for a banking data quality management project?
Look for experience in regulated financial environments, strong governance expertise, and the ability to work with complex banking and payments systems. Evaluate cloud and AI data capabilities, delivery track record, and understanding of GDPR, DORA, and PSD2/PSD3. Accedia, for example, brings 13+ years of experience and 50+ AI initiatives in regulated financial environments.
How to keep financial data management compliant with banking regulations?
Financial data management stays compliant when governance controls are built into the architecture from the start. This includes clear data ownership, end-to-end lineage, role-based access, and audit logging. These measures help financial institutions align with GDPR, DORA, PSD2/PSD3, and AML requirements. Accedia embeds these controls early into the data architecture to support transparency, traceability, and regulatory readiness.
How long does a financial data management engagement typically take?
A financial data management engagement typically runs in two phases. Initial work - data quality assessments, governance setup, or regulatory remediation - takes 4–8 weeks. Larger platform builds or system integrations run 6–12 months. Beyond the initial delivery, most banks and fintechs treat data management as an ongoing capability, requiring continuous monitoring, governance updates, and pipeline maintenance as systems and regulations evolve.