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Decision-making method and device for operation risk, equipment and program product

A risk decision-making and risk technology, applied in the field of data processing, can solve the problems of determining the scope of influence of key indicators of operational risk, and the inability to achieve effective control of operational risk, etc., to achieve the effect of effective control

Pending Publication Date: 2022-08-02
CCB FINTECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the currently implemented operational risk management process cannot determine the scope of influence of key indicators of operational risk based on the relationship and mutual influence between various elements, so it is impossible to achieve effective management and control of operational risk

Method used

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  • Decision-making method and device for operation risk, equipment and program product
  • Decision-making method and device for operation risk, equipment and program product
  • Decision-making method and device for operation risk, equipment and program product

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] figure 1 Embodiment 1 of the present invention provides a flowchart of a decision-making method for operational risk. This embodiment can be applied to the situation of making decisions for manipulation risk. The method can be executed by a decision-making device for operational risk. The device can It is implemented in the form of hardware and / or software. like figure 1 As shown, the method includes:

[0033] Step S110 , creating a graph database portrait model matching the operational risk framework based on the graph database technology.

[0034] Optionally, create a graph database portrait model that matches the operational risk framework based on the graph database technology, including: taking the operational risk framework as a root node, and taking key indicators as leaf nodes; connecting the root node and the leaf node using a path to obtain Graph database portrait model; among them, the key indicators include at least: employees, internal procedures, inform...

Embodiment 2

[0059] Figure 5 This is a flowchart of a decision-making method for operational risk provided in Embodiment 2 of the present invention. Based on the above-mentioned embodiment, after determining the risk decision-making method according to the risk influence scope, the present embodiment further includes: when the risk decision-making method is determined as: When mitigation or business continuity is ensured, the graph weight decision tree framework model is backtracked to adjust the parameters of nodes and paths. The method includes:

[0060] Step S210 , creating a graph database portrait model matching the operational risk framework based on the graph database technology.

[0061] Optionally, create a graph database portrait model that matches the operational risk framework based on the graph database technology, including: taking the operational risk framework as a root node, and taking key indicators as leaf nodes; connecting the root node and the leaf node using a path ...

Embodiment 3

[0072] Image 6 This is a schematic structural diagram of a decision-making device for operational risk provided by Embodiment 3 of the present invention. like Image 6 As shown, the apparatus includes: a graph database portrait model creation module 510 , a graph weight decision tree frame model acquisition module 520 , a risk influence scope determination module 530 and a risk decision mode determination module 540 .

[0073] The graph database portrait model creation module 510 is configured to create a graph database portrait model matching the operational risk framework based on the graph database technology, wherein the nodes in the graph database portrait model represent key indicators in the operational risk framework, and the graph database portrait model The path represents the relationship between key indicators;

[0074] The graph weighted decision tree frame model acquisition module 520 is configured to use the graph weighted decision tree algorithm to initializ...

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Abstract

The invention discloses a decision-making method and device for operation risks, equipment and a program product. The method comprises the steps of creating a graph database portrait model matched with an operation risk framework based on a graph database technology; performing parameter initialization setting on nodes and paths in the graph database portrait model by adopting a graph weight decision tree algorithm to obtain a graph weight decision tree framework model; obtaining an operation value of the target monitoring node, and determining a risk influence range of the target monitoring node by adopting a graph mode weight distance evaluation algorithm according to the operation value of the target monitoring node; and determining a risk decision mode according to the risk influence range. A graph weight decision tree framework model is obtained through the constructed operation risk graph database portrait model, when an operation value of a target monitoring node is obtained, the influence range of the target monitoring node is determined according to the node attribute and the path relation, and a decision mode for controlling or slowly releasing the operation risk is determined according to the influence range. Therefore, effective management and control of the operation risk can be realized.

Description

technical field [0001] The present invention relates to the technical field of data processing, and in particular, to a decision-making method, device, equipment and program product for operational risk. Background technique [0002] Operational risk is the risk caused by inadequate or faulty internal procedures, employees and IT systems, and external events, including legal risk but excluding strategic and reputational risk. [0003] At present, in the management process of routine operational risk of banks, we focus on the identification, assessment, detection, control and mitigation of relevant risks in the bank's process. The content of concern basically includes elements such as internal, external and legal risks. [0004] However, the operational risk management process that has been implemented so far cannot determine the influence scope of key indicators of operational risk based on the relationship and mutual influence of various elements, so it is impossible to ef...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/02G06Q40/02G06Q50/18G06F21/57G06N5/00G06F16/901
CPCG06Q10/0635G06Q10/06393G06Q10/06398G06Q30/0201G06Q40/02G06Q50/18G06F21/577G06F16/9024G06F2221/033G06F2221/034G06N5/01
Inventor 崔庆文蓝宗玉蒋炜刘丹
Owner CCB FINTECH CO LTD
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