In this interview, Eoghan dives deep into the transformation of risk management frameworks within modern banking institutions. He outlines three converging forces - regulatory oversight, cloud adoption, and interest rate volatility - that have created a powerful feedback loop demanding real-time insights, automation, and unified data strategies. These dynamics are not only changing how banks manage risk but also how they organize internal systems and teams to respond to accelerating market pressures.

As legacy systems fall short and Excel workarounds persist, banks are being pushed to adopt traceable, automated, and granular data pipelines. He emphasizes the critical role of automation in enabling on-demand scenario analysis, improving model accuracy, and reducing reliance on manual processes. Whether working with top-tier global banks or mid-tier institutions, the shift toward unified, AI-driven ALM platforms is no longer optional - it's foundational for regulatory resilience and competitive agility.