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      Geopolitical uncertainties, technological dependencies, regulatory pressure: non-financial risks (NFR) are among the greatest strategic challenges facing financial institutions. Our benchmark study on non-financial risk shows just how far governance, data management and control mechanisms have evolved in recent years – and where there is still a significant need for action.

      Our experts analyse the relevant trends, the maturity levels in the market and the future viability of existing frameworks.

      One thing is certain: non-financial risk management has become a key driver of resilience – from the integration of new risk types such as AI risks, through the increasing interlinking of internal control systems (ICS) and operational risk management (OpRisk), to the harmonisation of frameworks and data architectures. The study clearly demonstrates that efficiency, transparency and governance will determine future success.

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      Benchmark-Studie Non-Financial Risk 2025

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      Key findings: What the Non-Financial Risk 2025 benchmark study reveals

      • Stronger governance structures are becoming increasingly important

        Institutions are clarifying roles, responsibilities and governing bodies – particularly with a view to embedding NFR within management.

      • Data quality optimisation remains a bottleneck

        Many banks are working to establish integrated data architectures, consistent methodologies and automated reporting processes.

      • New types of risk are coming into focus

        Geopolitical risks, risks relating to information and communication technology (ICT), including the Digital Operational Resilience Act (DORA), third-party risks and AI risks are becoming significantly more relevant and must be systematically incorporated.

      • OpRisk and ICS are converging

        Institutions are reducing redundancies and aiming for a consistent, integrated approach to managing non-financial risks.

      • Technology is becoming a lever

        AI-driven scenarios, data-driven analyses and modern tools are becoming increasingly important for improving efficiency and early warning mechanisms.

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