Insights

DORA aims to enhance banking resilience in Ireland by enforcing proactive ICT-risk management, safeguarding digital services, and strengthening third-party oversight.

EU modernises payments and strengthens consumer protection with new regulations, enhancing competition, security, and data access for financial institutions and fintech.

Explore the evolving risks and regulatory challenges in banking by 2025. Learn how to adapt with robust risk management and stay ahead of ECB and CBI expectations.

Discover the ECB's latest draft guidance on governance and risk culture. Learn key areas banks must address to align with regulatory expectations by October 2024.

Are you ready for the Digital Operational Resilience Act? From January 2025, all financial entities in the EU must comply. Start your journey to compliance with our five practical steps to ensure you're prepared.

Discover how the Digital Operational Resilience Act (DORA) enhances ICT risk management for EU financial entities. Learn about compliance requirements and penalties.

Explore key updates from the ESA report on the Digital Operational Resilience Act (DORA), highlighting crucial changes for financial entities to ensure compliance by January 2025.

Is your business prepared for IT outages? Learn how a recent global disruption highlights the need for robust third-party risk management and digital resilience.

Discover changes to company size criteria under new EU regulations. From July 2024, increased thresholds for 'micro,' 'small,' 'medium,' and 'large' companies take effect.

Prepare for new EU banking rules (CRR III & CRD VI) with Grant Thornton's regulatory & risk advisory team. Leverage our experts for gap assessments, implementation & more. Local & EU-wide support.

This ECB paper is relevant to banks with derivatives and trading books; it explores the operational aspects and hidden costs associated with the wind-down of a bank’s trading book. An orderly wind-down of a trading book may be a recovery option or an element of a bank’s preferred resolution strategy. This paper details principles of ECB’s supervisory expectations with respect to both recovery and resolution planning.

Our focus in this paper is to develop decision making models using a range of advanced machine learning techniques. We explore three different methodologies to measure the discriminatory power between good and bad borrowers using a credit card portfolio dataset. The main hypothesis is that advanced modelling techniques lead to more efficient estimates and higher discriminatory power.