We help banks define where and how models should be deployed, ensuring alignment with regulatory requirements while remaining practical for business use. Our structured approach ensures models are transparent, well-governed, and continuously improving.

Reliable models start with high-quality data. We help extract, clean, and structure risk data while addressing gaps and inconsistencies. Our approach strengthens data governance and architecture, ensuring data is always ready for audits, validations, and ongoing regulatory scrutiny.

We design, develop, and validate models that fully align with regulatory expectations. From initial methodology to final validation, we ensure models meet supervisory standards, hold up under ECB and EBA scrutiny, and remain robust through continuous monitoring and enhancement.

Models must do more than comply—they should provide clear insights. We help you analyse trends, risk patterns, and early indicators, ensuring models support proactive decision-making, portfolio risk management, and ongoing regulatory reporting.

We help banks calculate and optimise capital requirements, ensuring models align with Basel and CRR 3 rules while balancing capital efficiency and regulatory resilience. Our approach reduces unnecessary capital add-ons while ensuring accuracy and compliance.

We ensure transparent, compliant, and efficient regulatory reporting. From automating processes to enhancing clarity for stakeholders, we help institutions streamline disclosures, meet compliance requirements, and reinforce trust with regulators and investors.