Prompt Engineering Frameworks for Generative AI in Credit Analysis

Abstract

The financial services industry is currently in the midst of a significant transformation, largely sparked by the rise and widespread integration of generative artificial intelligence (GenAI) technologies. These tools and technologies available have the potential to fundamentally change how we operate and make strategic decisions. In this fast-paced environment, generative AI’s knack for synthesizing, analyzing, and extracting insights from extensive and varied datasets is reshaping credit analysis. Traditionally, this field has leaned on careful data examination, statistical modeling, and the judgment of experts to evaluate the financial reliability of individuals or organizations while also proactively tackling the uncertainties that accompany lending. This paper captures prompt engineering techniques for credit risk analysis while leveraging GenAI.