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IEEE Guide for Large-Scale Financial Risk Management Models
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STANDARD published on 18.7.2025
Designation standards: IEEE 3410-2025
Publication date standards: 18.7.2025
SKU: NS-1226227
The number of pages: 26
Approximate weight : 78 g (0.17 lbs)
Country: International technical standard
Category: Technical standards IEEE
New IEEE Standard - Active.
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.
ISBN: 979-8-8557-1412-8, 979-8-8557-2261-1, 979-8-8557-2262-8
Number of Pages: 26
Product Code: STDAPE27453, STD27986, STDPD27986
Keywords: financial risk management, large-scale financial risk management models, pre-training, fine-tuning, swift adaptation, iteration.
Category: 309
Draft Number: P3410/D6, Oct 2024 - APPROVED DRAFT
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