Client
Regulatory
Reporting
Peraison helped Rabobank deliver a highly successful, high-scrutiny regulatory remediation programme by building an auditable single view of each SME customer’s interest rate derivatives portfolio.
We reconstructed and reconciled historic datasets spanning up to twenty years, automated the gathering, cleaning, and assembly of structured client files, and enabled systematic application of complex remediation rules with full traceability.
The programme achieved a 94% customer acceptance rate, satisfied both the regulator and the Ministry of Finance, and materially reduced delivery time and cost by replacing manual preparation with automated, repeatable processing and strong data quality monitoring.
Reduced financial exposure in a €1.5bn+ industry-wide remediation
Peraison enabled Rabobank to reduce regulatory risk by creating a single, accurate view of each customer from fragmented historical data, ensuring precise scope identification and compensation calculations that prevented significantly higher remediation costs.
Strengthen trust with regulators through transparent, auditable data
Peraison helped Rabobank rebuild regulator trust by delivering fully auditable, transparent client data and systematically applying the remediation framework to satisfy both the regulator and Ministry of Finance.
Programme cost reduction measured in tens of millions of euros
By automating data collection, transformation, and client file creation, Peraison significantly reduced manual effort and shortened Rabobank’s remediation timeline by several months.
Modern Solutions for a changing
financial services landscape
Helping financial institutions accelerate with data & AI
Modern data foundations that unify fragmented sources, enable cloud adoption, and establish AI readiness across the enterprise. Platform acceleration, scalable data pipelines, and governed analytics capabilities power consistent, high quality decision making at scale across business, risk, and technology teams.
Advanced client analytics combining predictive models, segmentation, and pricing intelligence to deepen customer understanding.
Opportunity identification and personalised insights improve client outcomes, increase share of wallet, and unlock sustainable revenue growth across products and channels.
Embedded controls, auditable data lineages, and robust model governance designed to meet regulatory expectations. Regulatory aligned processes reduce operational and compliance risk while improving transparency, consistency, and confidence across risk, compliance, and audit functions.
End to end process redesign supported by workflow automation and intelligent tooling. These capabilities increase productivity, reduce cost to serve, minimise manual intervention, and enable teams to focus on higher value activities while improving service quality and turnaround times.
High speed insights and advanced analytics supporting front office, treasury, and risk teams. Predictive analytics, performance dashboards, and real time views improve decision making, market responsiveness, liquidity management, and risk awareness across volatile market conditions.
Trusted, near real time finance and regulatory reporting frameworks that adapt to evolving regulatory standards. Improved data quality, automation, and controls reduce manual effort, accelerate reporting cycles, and strengthen confidence in statutory, management, and regulatory outputs.
Modern, resilient architectures delivered through stack agnostic engineering and proven delivery practices. Targeted accelerators and reusable components enable scalable, secure technology outcomes that align platform capabilities with business, regulatory, and operational priorities.
Our financial services stories & insights
Explore the real‑world impact of our work across financial services, with stories and insights that reveal how data, AI, and technology deliver measurable outcomes.
Fund Reporting and Portfolio Oversight
Peraison modernised Coller Capital’s fund reporting, improving pack repeatability, exposure oversight, and scalable operations while preserving trusted logic and continuity.
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