
With financial markets in flux, regulatory demands tightening, and technology evolving at an unprecedented pace, banks are under mounting pressure to transform their risk modeling and decisioning frameworks. To stay competitive, financial institutions must strike a balance between regulatory compliance, automation, and strategic innovation—ensuring that risk models are not just resilient but agile enough to drive smarter, faster decisions in an increasingly complex landscape.
A recent FT Longitude survey “Transforming Risk Management” revealed that while 67% of banks plan to modernize their risk modeling capabilities within the next two years, the path forward is not without challenges. Regulatory demands now dictate risk management strategies for 56% of banks—up from 46% in 2021—while automation is viewed as both a necessity and a strategic differentiator.
This webinar will explore:
- The evolving role of automation: How banks are balancing efficiency with regulatory demands in risk modeling
- The use of AI and machine learning in risk decisioning: laying baer new opportunities and challenges in model validation and governance
- Retail banking trends: Why 70% of retail banks are prioritizing automation in risk measurement and management
- Strategic investment priorities: How financial institutions are approaching low-code/no-code solutions and AI-driven decisioning
- Competitive advantage in risk transformation: Why 63% of banks see it as a key differentiator
Building on the themes of agility and adaptive risk management discussed in our first session, this second webinar delves deeper into how financial institutions are leveraging technology, automation, and AI to transform risk modeling.