IEEE Guide for Large-Scale Financial Risk Management Models

Abstract

This guide aims to establish a standardized reference framework and technical protocols for implementing large-scale artificial intelligence (AI) models in financial risk management. It serves as an essential guidance for financial institutions seeking to build, iterate, utilize their large-scale AI models for managing financial risks. The guide offers best practice on integrating various data knowledge, including feature space, sample, and model knowledge, into large-scale financial risk management models. It also provides strategic guidance on designing pre-training process, fine-tuning process, and evaluation methodologies to augment the feature and risk comprehensive capabilities of the large-scale models. Furthermore, it elucidates on the swift adaptation of the large models to various financial lending risk scenarios and the iterative process of the large-scale models.