The latest enterprise risk management news from around the world

A new study from the analytics organization, SAS, and Longitude looks at approaches to risk management and resilience in the banking sector around the world. The study, ‘From Crisis to Opportunity: Redefining Risk Management’, is based on a survey of 300 senior banking executives across 24 countries. The survey data is complemented by insights from in-depth interviews with the chief risk officers (CROs) of five large, multinational banks.

The key findings include:

  • COVID-19 is driving transformation. More influential than regulatory requirements, the top factor influencing banks' approaches to risk modeling is the pandemic.
  • Most banks plan to modernize. In the next two years, 54 percent of banks anticipate modernizing their risk modeling capabilities. Further, 52 percent say the pandemic has accelerated their modernization plans.
  • Risk management automation is lagging. Only about 10 percent of banks have completely automated most of their risk management activities – and a mere 6 percent have fully automated large portions of the risk modeling processes – hindering their ability to forecast trends and improve decision making across the business.
  • Cloud deployments and analytics are top investment priorities. Asked about planned investments for improving risk modeling over the next 12 months, executives put cloud provision (67 percent) and data analytics tools (59 percent) at the top of list.

Using the survey data, Longitude identified a subset of survey respondents, the 20 percent who had a more mature approach to risk management versus the rest of the sample. These ‘Risk Management Leaders’, as they are identified in the report, are defined by having more automated risk modeling and more advanced risk management capabilities via tools like scenario-based risk analytics, integrated balance sheet management and modeling-as-a-service.

The research shows the Risk Management Leaders have already attained substantial long-term benefits from their risk technology investments, including the ability to forecast further ahead and complete various stress tests more rapidly. Compared to their survey sample peers, the Leaders also report better performance across several key aspects of their operations, including:

  • Greater benefits from automated risk modeling: 73 percent report their risk modeling processes offer a competitive edge (versus 47 percent in the overall sample).
  • More accurate business forecasting: 37 percent (compared to 14 percent overall) rate the accuracy of projected balance sheets and P&L forecasts as ‘very high’.
  • The ability to project balance sheets further into the future: 44 percent (versus 19 percent of the overall sample) can project balance sheets three or more years ahead.
  • Greater integration between risk management and business planning: 78 percent report their bank has already integrated regulatory stress-testing exercises with business planning (compared to 45 percent overall).

Banks can accelerate their transformation journeys by following five guiding principles of risk management transformation, gleaned from the actions and behaviors of the Risk Management Leaders:

  • Standardize and modernize the risk modeling life cycle.
  • Invest in cloud infrastructure and automation.
  • Focus on quick wins versus large-scale transformation.
  • Integrate risk management with business-planning activities.
  • Recruit the right talent – and develop it.

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