CECL Q-Factors: Reducing manual effort with better data and consistency

Qualitative factors have long been one of the most challenging and time-consuming aspects of CECL. From identifying relevant trends and gathering supporting data to documenting and defending adjustments, the process can quickly become an exercise in both art and science.

While Q-factors aren’t new, the tools and processes available to support them have evolved. Join us as we explore how a more structured, data-driven approach can reduce subjectivity, automate manual processes, improve consistency, and make qualitative adjustments more transparent and defensible.

You’ll learn how to:

• Use modern tools to make the Q-factor process more efficient
• Identify trends in economic conditions and portfolio performance
• Apply repeatable metrics and strengthen documentation
• Reduce manual effort by streamlining the collection of supporting data
• Leverage a more structured, data-driven approach to qualitative adjustments.