Enterprise-level model management method and system, equipment and storage medium

Abstract

The invention discloses an enterprise-level model management method and system, equipment and a storage medium. The method mainly comprises the steps: building an enterprise-level model asset library,and registering all models and related documents in the same management platform; monitoring the working state and the performance index of each model in the asset library in the life cycle in real time according to a pre-configured instrument board; carrying out model task processing, such as model requirement initiation, model development, model verification, model implementation and deployment, model approval, model online, continuous verification and monitoring after production and the like, on a universal model workflow according to different model task requirements. According to the invention, all the models are registered to the same model management platform; model sharing and multiplexing are carried out in the platform according to authorities of different roles, indexes or states of any one or more models are presented through an instrument board, and centralization, process and unification of model management can be realized through processing of different sub-tasks in ageneral model workflow association model life cycle.

Description

technical field [0001] The present invention relates to the technical field of model management, in particular to an enterprise-level model management method, system, equipment, and storage medium. Background technique [0002] In various financial institutions in various countries in the world today, models are widely developed and applied to scenarios such as marketing, risk control, and decision-making, and have become an indispensable and important tool in various financial businesses including credit business. However, due to the error or improper use of the model itself, there will also be risks, which are model risks. For example, the collapse of Long-Term Capital Management (LTCM) in 1998, the US subprime mortgage crisis in 2007, and the "London Whale" event of JP Morgan Chase in 2012 are all related to model risk, which shows that model risk is only used as a Operational risk already has enormous destructive power, and the lack of a model risk management system for...

AI Technical Summary

Problems solved by technology

Generally speaking, each business line in the organization will conduct model work independently, resulting in the dispersion of model assets in the organization, and the historical information related to the model cannot be traced back, unable to meet internal audit requirements or have compliance issues caused by the inability to provide effective model documents. hidden dangers; the state of the model cannot be known in time, resulting in delays caused by the inability to effectively track the working status of the model, or the failure to know the performance loss of the model in a timely manner, resulting in operating losses; model assets cannot be shared and reused across departments, and some model work is repeated, consuming human resources

In addition, due to the inconsistency of the model work process among different business departments, the model work may be too cautious or too rough, resulting in unreasonable model working hours or uneven model quality, low timeliness, and responsibility for each link of the model workflow Fuzzy, unable to locate the specific person in charge, affecting the progress of the model work; lack of verification mechanism after the model is put into production, lack of periodic verification plan, spend a lot of human resources to generate reports, model reports are not standardized, and model problems cannot be found and located in time, etc.

Images