A Logistic Regression Based Employee Operational Risk Prediction Method

A logistic regression and risk prediction technology, applied in the field of employee operational risk prediction based on logistic regression, to achieve the effect of reducing labor costs, reducing losses, and avoiding distraction
CN112418738BActive Publication Date: 2022-02-11泸州银行股份有限公司 +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
泸州银行股份有限公司
Publication Date
2022-02-11

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Abstract

The present invention provides a method for predicting employee operational risks based on logistic regression, comprising: S1, collecting operational risk point list data and employee information data; S2, classifying the risk points in the operational risk point list data; S3, extracting Operational risk events and employee information data of various risk points form an operational risk data set; S4, label employees according to the occurrence of operational risk events; Preprocessing; S6, based on the employee label, establish a logistic regression model for each type of risk point; S7, use the employee information data in the operation risk data set of each type of risk point after data preprocessing to train the corresponding logistic regression model; S8, use The trained logistic regression model calculates the probability of employees having various operational risk events. The invention collects employee information data, monitors employee behavior, does not need manual on-site inspection, and reduces labor costs.
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Description

technical field

[0001] The invention relates to the field of prevention and control of operational risk in financial institutions and banking industry, in particular to a method for predicting employee operational risk based on logistic regression. Background technique

[0002] At present, financial institutions and the banking industry's investigation of employees' operational risk behaviors is mostly limited to manual investigation and supervision, which requires a lot of manpower and material resources. The scope of investigation and supervision is often limited to individual departments or branches, and cannot cover the entire institution or bank. There are drawbacks in the bank's internal control mechanism and supervisory mechanism. The management and control of operational risk emphasizes post-event investigation rather than pre-prevention. Many incidents are investigated in detail after the risk occurs, ignoring the early prevention work, making the institution miss t...

Claims

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