Financial business fraud case processing method, device and electronic equipment

Abstract

The present application relates to a method, device and electronic device for handling financial business fraud cases. The method for handling financial business fraud cases includes: obtaining case information of a financial business fraud case to be handled; selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator; obtaining associated information of the case information, the associated information including the relationship network information of the customer corresponding to the case information; and presenting the case information together with the associated information to the selected case investigator. In this way, the work efficiency of the case investigator can be improved, the labor cost can be saved, the accuracy of identifying financial business fraud cases can be improved, and the fraud risk loss can be reduced.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and more specifically, to a method, device and electronic equipment for processing financial business fraud cases. Background Art

[0002] With the rapid development of digital financial services and mobile Internet, financial institutions such as banks and insurance companies are facing a variety of fraud methods and scenarios, which may affect user experience at the least and lead to financial losses, regulatory violations, and commercial information leaks at the worst. In addition to bearing compliance risks and reputation risks, financial institutions will also incur a large amount of asset losses.

[0003] At present, most financial institutions need fraud investigators to investigate financial fraud cases. However, when assigning fraud cases in the financial field to fraud investigators for investigation, the allocation methods used are mostly manual allocation, sequential allocation, and proportional allocation. In addition, during the current investigation of fraud cases in the financial field, fraud investigators need to check information in various systems, and then conduct targeted investigations after the investigation, including electronic verification, field investigation, and compliance inspection. In addition, the current systems for investigating financial fraud cases mostly display basic information on the cases.

[0004] Therefore, the current process of assigning fraud cases to fraud investigators does not take into account the investigators’ on-the-job status, work efficiency, current backlog of work, skills and expertise, and does not group and assign related cases. In addition, the current system for investigating financial fraud cases does not fully display customer information, and fraud investigators still need to collect information from other business systems or departments, and there is insufficient support for the analysis and judgment of corresponding gang-type fraud.

[0005] Based on this, there is a need to provide an improved solution for handling financial business fraud cases. Summary of the invention

[0006] In order to solve the above technical problems, the present application is proposed. The embodiments of the present application provide a method, device and electronic device for handling financial business fraud cases, which can improve the work efficiency of case investigators, save labor costs, improve the accuracy of financial business fraud case identification, and reduce fraud risk losses by selecting appropriate case investigators based on the case status and the work status of the case investigators, and presenting the associated information including the customer's relationship network information together with the case information to the selected case investigators.

[0007] According to one aspect of the present application, a method for handling financial business fraud cases is provided, comprising: obtaining case information of a financial business fraud case to be handled; selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator; obtaining associated information of the case information, the associated information including relationship network information of a customer corresponding to the case information; and presenting the case information together with the associated information to the selected case investigator.

[0008] In the above-mentioned financial business fraud case handling method, selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator includes: obtaining at least one of the case channel, product information, risk level and risk information in the case information; and selecting a candidate case investigator based on the degree of match between the case investigator and the case channel and the product information and the on-the-job status of the case investigator.

[0009] In the above-mentioned financial business fraud case handling method, selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator further includes: determining whether the candidate case investigator has related cases based on the risk information; determining the type of cases that the candidate case investigator is good at based on whether there are related cases; and, based on the type of cases that the candidate case investigator is good at, selecting the candidate case investigator as a further candidate case investigator.

[0010] In the above-mentioned financial business fraud case handling method, selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator further includes: determining the current case backlog rate of the further candidate case investigator; and selecting the further candidate case investigator with the lowest current case backlog rate as the selected case investigator.

[0011] In the above-mentioned financial business fraud case handling method, selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator further includes: in response to the fact that there are multiple further candidate case investigators with the lowest current case backlog rate, randomly assigning a case investigator among the further candidate case investigators with the lowest current case backlog rate to the financial business fraud case to be processed.

[0012] In the above-mentioned financial business fraud case handling method, obtaining the associated information of the case information includes: obtaining at least one of customer information, credit information, and post-loan information associated with the case information from different systems inside and outside the financial institution.

[0013] In the above-mentioned method for handling financial business fraud cases, obtaining the associated information of the case information includes: using customer information associated with the case information to construct a relationship network of the customer based on a knowledge graph.

[0014] In the above-mentioned method for handling financial business fraud cases, the customer information includes at least one of the customer's mobile phone number information, address information, unit information and contact information.

[0015] According to another aspect of the present application, a financial business fraud case processing device is provided, including: a case information acquisition unit, used to acquire case information of a financial business fraud case to be processed; an investigator selection unit, used to select a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator; an associated information acquisition unit, used to acquire associated information of the case information, the associated information including relationship network information of customers corresponding to the case information; and an information presentation unit, used to present the case information together with the associated information to the selected case investigator.

[0016] According to another aspect of the present application, an electronic device is provided, comprising: a processor; and a memory, wherein computer program instructions are stored in the memory, and when the computer program instructions are executed by the processor, the processor executes the method for handling financial business fraud cases as described above.

[0017] According to another aspect of the present application, a computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a computing device, the method for handling financial business fraud cases as described above can be operated.

[0018] The financial business fraud case processing method, device and electronic device provided by the embodiments of the present application can select appropriate case investigators based on the case status and the work status of the case investigators, and present the associated information including the customer's relationship network information together with the case information to the selected case investigators, thereby improving the work efficiency of the case investigators, saving labor costs, and improving the accuracy of identifying financial business fraud cases and reducing fraud risk losses.

[0019] Furthermore, since the financial business fraud case processing method, device and electronic device provided by the embodiments of the present application improve the accuracy of identifying financial business fraud cases and reduce fraud risk losses, it can reduce the misjudgment of financial business fraud cases and increase the positive income of financial institutions.

[0020] In addition, since the financial business fraud case processing method, device and electronic equipment provided by the embodiments of the present application improve the work efficiency of case investigators and save labor costs, they can speed up business processing and improve customer satisfaction, thereby bringing intangible income to financial institutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] By reading the detailed description of the preferred specific embodiments below, various other advantages and benefits of the present application will become clear to those of ordinary skill in the art. The drawings in the specification are only used for the purpose of illustrating the preferred embodiments and are not considered to be limitations of the present application. Obviously, the drawings described below are only some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative work. Moreover, the same reference numerals are used to represent the same components throughout the drawings.

[0022] Figure 1 A flowchart of a method for handling financial business fraud cases according to an embodiment of the present application is illustrated;

[0023] Figure 2 The figure illustrates a schematic process of case allocation in the method for handling financial business fraud cases according to an embodiment of the present application;

[0024] Figure 3 A schematic diagram illustrating investigator selection in a method for handling financial business fraud cases according to an embodiment of the present application is shown;

[0025] Figure 4 A schematic diagram illustrating information collection and retrieval in a method for handling financial business fraud cases according to an embodiment of the present application is shown;

[0026] Figure 5 A schematic flowchart of relationship network construction in a method for handling financial business fraud cases according to an embodiment of the present application is illustrated;

[0027] Figure 6 A schematic diagram of a relationship network in a method for handling financial business fraud cases according to an embodiment of the present application is illustrated;

[0028] Figure 7 A schematic diagram illustrating an application example of the method for handling financial business fraud cases according to an embodiment of the present application;

[0029] Figure 8 A block diagram of a financial business fraud case processing device according to an embodiment of the present application is illustrated;

[0030] Fig. 9 A block diagram of an electronic device according to an embodiment of the present application is illustrated. DETAILED DESCRIPTION

[0031] Below, the exemplary embodiments according to the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0032] Exemplary Methods

[0033] Figure 1 The figure illustrates a flow chart of a method for handling financial business fraud cases according to an embodiment of the present application.

[0034] like Figure 1 As shown, the method for handling financial business fraud cases according to an embodiment of the present application includes the following steps.

[0035] Step S110, obtaining case information of the pending financial business fraud case. That is, first obtaining case information of the pending financial business fraud case, for example, may include case channel information, case product information, case risk level and case risk information.

[0036] Step S120, selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator. Here, in the embodiment of the present application, considering that in the process of assigning financial business fraud cases to case investigators, if the dimensions considered are not comprehensive enough, it will cause uneven and inaccurate case assignment, thereby causing problems such as failure to give full play to the expertise of case investigators, case backlogs, and repeated case investigations. Therefore, in order to solve the problem of case assignment, the financial business fraud case handling method according to the embodiment of the present application considers information of multiple dimensions when assigning cases, so as to more reasonably assign cases to corresponding case investigators.

[0037] Figure 2 The diagram illustrates a schematic process of case allocation in a method for handling financial business fraud cases according to an embodiment of the present application.

[0038] like Figure 2 As shown, after obtaining case information, such as case channels, product information, risk levels or risk information, in step S110 as described above, case investigators are first screened according to the case channels, case products and the on-the-job status of case investigators, and the number of qualified investigators is determined. If there is only one qualified investigator, the pending financial business fraud case is assigned to the case investigator.

[0039] Otherwise, if there are multiple investigators who meet the requirements, the case investigators who are currently handling related cases can be further screened based on the risk information, which can determine the areas of expertise of the case investigators, such as individual fraud or group fraud. Similarly, if there is only one investigator who meets the requirements, the case investigator will be assigned the pending financial business fraud case.

[0040] Furthermore, if there are still multiple investigators who meet the conditions, the current backlog rate of the case investigators can be further calculated based on the efficiency of the case investigators in handling cases, for example, calculated as (number of unhandled cases on hand / handling efficiency), and the case investigator with the lowest current backlog rate can be determined. And, if there is only one investigator who meets the conditions, the pending financial business fraud cases will be assigned to the case investigator. If there are still multiple case investigators who meet the conditions, the cases can be randomly assigned.

[0041] Therefore, in the financial business fraud case handling method according to the embodiment of the present application, selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator includes: obtaining at least one of the case channel, product information, risk level and risk information in the case information; and selecting a candidate case investigator based on the degree of match between the case investigator and the case channel and the product information and the on-the-job status of the case investigator.

[0042] Furthermore, in the above-mentioned financial business fraud case handling method, selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator further includes: determining whether the candidate case investigator has related cases based on the risk information; determining the case types that the candidate case investigator is good at based on whether there are related cases; and, selecting the candidate case investigator as a further candidate case investigator based on the case types that the candidate case investigator is good at.

[0043] In addition, in the above-mentioned financial business fraud case handling method, selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator further includes: determining the current case backlog rate of the further candidate case investigator; and selecting the further candidate case investigator with the lowest current case backlog rate as the selected case investigator.

[0044] In addition, in the above-mentioned financial business fraud case handling method, selecting a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator further includes: in response to the fact that there are multiple further candidate case investigators with the lowest current case backlog rate, randomly assigning a case investigator from the further candidate case investigators with the lowest current case backlog rate to the financial business fraud case to be processed.

[0045] Figure 3 The diagram shows the selection of investigators in the method for handling financial business fraud cases according to an embodiment of the present application. Figure 3 As shown, when selecting investigators, we can fully consider factors such as the investigator's on-the-job status, responsible channels, responsible products, fraud types he is good at, and work efficiency based on the case information, and gradually screen out the most suitable case investigator for a certain financial business fraud case based on the above information.

[0046] Next, the method for handling financial business fraud cases according to an embodiment of the present application will be further described, which further includes the following steps.

[0047] Step S130, obtaining the associated information of the case information, wherein the associated information includes the relationship network information of the customer corresponding to the case information. As mentioned above, because the case investigator needs to spend a lot of time and energy in the process of information review and aggregation, and because the information is scattered, it is not possible to fully, timely and accurately grasp the situation of the investigated case, thereby reducing the accuracy and timeliness of the case investigation. To solve this problem, the financial business fraud case processing method according to the embodiment of the present application can collect and retrieve multi-party data information inside and outside the financial institution to present it to the case investigator in a centralized manner, such as Figure 4 Here, Figure 4 The figure illustrates a schematic diagram of information collection and retrieval in a method for handling financial business fraud cases according to an embodiment of the present application.

[0048] Therefore, in the method for handling financial business fraud cases according to an embodiment of the present application, obtaining related information of the case information includes: obtaining at least one of customer information, credit information, and post-loan information associated with the case information from different systems inside and outside the financial institution.

[0049] In addition, in recent years, with the development of Internet business of various financial institutions, organized and divided group fraud has become the biggest fraud risk. It is difficult to identify this type of risk simply by analyzing and observing the information of each customer through case investigators. To solve this problem, according to the financial business fraud case processing method of the embodiment of the present application, the customer's mobile phone number, address, unit, contact person and other information are extracted, and the customer's relationship network is constructed based on the idea of ​​knowledge graph. In this way, the dimension of information display can be improved by constructing a relationship network to discover the invisible relationship between independent information before, and provide data and technical support for case investigators to identify gang fraud risks.

[0050] Figure 5 The figure shows a schematic flow chart of the relationship network construction in the method for handling financial business fraud cases according to an embodiment of the present application. Figure 5 As shown, firstly, the network building entity is extracted based on the customer's application information, and when an entity is extracted, it is determined whether it is in the blacklist. If it is in the blacklist, the entity is inserted into the entity table, otherwise it is determined whether the entity is in the removal list. If it is in the removal list, it can jump directly to the next entity, and if it is not in the removal list, it continues to determine whether the entity is in the whitelist. If it is in the whitelist, it jumps directly to the next entity, otherwise it will also be inserted into the entity table.

[0051] Here, "entity" refers to the customer's mobile phone number, home address, company name and other information. According to the embodiment of the present application, entities in the blacklist must participate in the network construction, while entities in the whitelist do not participate in the network construction. In addition, in the embodiment of the present application, a removal list is also set up to solve the problem of super-large networks. For example, the address "XX City" may cause many nodes to be associated together to form a super-large network, which can be filled in the removal list, that is, this value does not participate in the network construction.

[0052] Return to reference Figure 5 , further determine the number of predetermined entities in the entity table, if it exceeds the set value, then add the entity to the removal list to avoid the problem of forming a super large network as described above.

[0053] In this way, a relationship network can be constructed. Figure 6 As shown, it can be used to identify gang anti-fraud. Here, Figure 6 The figure shows a schematic diagram of a relationship network in a method for handling financial business fraud cases according to an embodiment of the present application. Figure 6 As shown, the relationship network extracts the customer's application equipment, home address, telephone number, company and other information, thereby mining other dimensions of information about these customers.

[0054] Therefore, in the method for handling financial business fraud cases according to an embodiment of the present application, obtaining the associated information of the case information includes: using the customer information associated with the case information to construct a relationship network of the customer based on a knowledge graph.

[0055] Furthermore, in the above-mentioned method for handling financial business fraud cases, the customer information includes at least one of the customer's mobile phone number information, address information, unit information and contact information.

[0056] Finally, in step S140, the case information and the associated information are presented to the selected case investigator. In this way, the financial business fraud case handling method according to the embodiment of the present application can select an appropriate case investigator based on the case status and the work status of the case investigator, and present the associated information including the customer's relationship network information together with the case information to the selected case investigator, thereby improving the work efficiency of the case investigator, saving labor costs, and improving the accuracy of financial business fraud case identification and reducing fraud risk losses.

[0057] Furthermore, the method for handling financial fraud cases according to the embodiments of the present application can reduce misjudgments of financial fraud cases and increase positive income of financial institutions by improving the accuracy of identifying financial fraud cases and reducing fraud risk losses. Furthermore, the method for handling financial fraud cases according to the embodiments of the present application can speed up business processing and improve customer satisfaction by improving the work efficiency of case investigators and saving labor costs, thereby bringing intangible income to financial institutions.

[0058] Figure 7 The following is a schematic diagram illustrating an application example of the method for handling financial business fraud cases according to an embodiment of the present application. Figure 7 As shown, the method for handling financial business fraud cases according to the embodiment of the present application can be applied to establish an anti-fraud case investigation management system. The anti-fraud case investigation management system is designed according to the theory and ideas of the method for handling financial business fraud cases according to the embodiment of the present application, which can improve the work efficiency of fraud investigators, shorten business approval time, and improve customer experience. Here, the anti-fraud case investigation management system centrally displays the risk information, basic customer information, application information, and credit information of the case, and uses the above information to form a correlation map, further improving the data dimension and providing comprehensive data support for case investigators.

[0059] Moreover, in terms of comprehensive information display, according to the embodiments of the present application, the system design fully reserves external data interfaces, which can be directly connected to multiple systems inside and outside the financial institution. The information of these systems will be converted into a unified data format and stored in the anti-fraud case investigation management system, and presented to the case investigators in a centralized manner.

[0060] Exemplary Devices

[0061] Figure 8 The figure illustrates a block diagram of a financial business fraud case processing device according to an embodiment of the present application.

[0062] like Figure 8 As shown, according to an embodiment of the present application, a financial business fraud case processing device 200 includes: a case information acquisition unit 210, used to acquire case information of a financial business fraud case to be processed; an investigator selection unit 220, used to select a case investigator based on the degree of match between the case investigator and the case information and the case handling situation of the case investigator; an associated information acquisition unit 230, used to acquire associated information of the case information, wherein the associated information includes relationship network information of customers corresponding to the case information; and an information presentation unit 240, used to present the case information together with the associated information to the selected case investigator.

[0063] In one example, in the above-mentioned financial business fraud case processing device 200, the investigator selection unit 220 is used to: obtain at least one of the case channel, product information, risk level and risk information in the case information; and select a candidate case investigator based on the degree of match between the case investigator and the case channel and the product information and the on-the-job status of the case investigator.

[0064] In one example, in the above-mentioned financial business fraud case processing device 200, the investigator selection unit 220 is further used to: determine whether the candidate case investigator has related cases based on the risk information; determine the case types that the candidate case investigator is good at based on whether there are related cases; and, based on the case types that the candidate case investigator is good at, select the candidate case investigator as a further candidate case investigator.

[0065] In one example, in the above-mentioned financial business fraud case processing device 200, the investigator selection unit 220 is further used to: determine the current case backlog rate of the further candidate case investigator; and select the further candidate case investigator with the lowest current case backlog rate as the selected case investigator.

[0066] In one example, in the above-mentioned financial business fraud case processing device 200, the investigator selection unit 220 is further used to: in response to the fact that there are multiple further candidate case investigators with the lowest current case backlog rate, randomly assign a case investigator from among the further candidate case investigators with the lowest current case backlog rate to the financial business fraud case to be processed.

[0067] In one example, in the above-mentioned financial business fraud case processing device 200, the associated information acquisition unit 230 is used to: obtain at least one of the customer information, credit information, and post-loan information associated with the case information from different systems inside and outside the financial institution.

[0068] In one example, in the above-mentioned financial business fraud case processing device 200, the associated information acquisition unit 230 is used to: use the customer information associated with the case information to build a relationship network of the customer based on the knowledge graph.

[0069] In one example, in the above-mentioned financial business fraud case processing device 200, the customer information includes at least one of the customer's mobile phone number information, address information, unit information and contact information.

[0070] Here, those skilled in the art will appreciate that the specific functions and operations of the various units and modules in the above-mentioned financial business fraud case processing device 200 have been described in detail above. Figures 1 to 7 The method for handling financial business fraud cases described is described in detail, and therefore, its repeated description will be omitted.

[0071] As described above, the financial business fraud case processing device 200 according to the embodiment of the present application can be implemented in various terminal devices, such as servers of various financial institutions. In one example, the financial business fraud case processing device 200 according to the embodiment of the present application can be integrated into the terminal device as a software module and / or a hardware module. For example, the financial business fraud case processing device 200 can be a software module in the operating system of the terminal device, or can be an application developed for the terminal device; of course, the financial business fraud case processing device 200 can also be one of the many hardware modules of the terminal device.

[0072] Alternatively, in another example, the financial business fraud case processing apparatus 200 and the terminal device may also be separate devices, and the financial business fraud case processing apparatus 200 may be connected to the terminal device via a wired and / or wireless network and transmit interactive information in accordance with an agreed data format.

[0073] Exemplary Electronic Devices

[0074] Below, reference Fig. 9 To describe an electronic device according to an embodiment of the present application.

[0075] Fig. 9 A block diagram of an electronic device according to an embodiment of the present application is illustrated.

[0076] like Fig. 9As shown, the electronic device 10 includes one or more processors 11 and a memory 12 .

[0077] The processor 11 may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device 10 to perform desired functions.

[0078] The memory 12 may include one or more computer program products, and the computer program product may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, a random access memory (RAM) and / or a cache memory (cache), etc. The non-volatile memory may include, for example, a read-only memory (ROM), a hard disk, a flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor 11 may run the program instructions to implement the financial business fraud case processing method of each embodiment of the present application described above and / or other desired functions. Various contents such as case information, case investigator information, etc. may also be stored in the computer-readable storage medium.

[0079] In one example, the electronic device 10 may further include: an input device 13 and an output device 14, and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0080] For example, the input device 13 may be a keyboard, a mouse, etc.

[0081] The output device 14 can output various information to the outside, such as the processing results of financial business fraud cases, etc. The output device 14 can include, for example, a display, a speaker, a printer, a communication network and its connected remote output device, etc.

[0082] Of course, to simplify, Fig. 9 Only some of the components related to the present application in the electronic device 10 are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device 10 may also include any other appropriate components.

[0083] Exemplary computer program products and computer-readable storage media

[0084] In addition to the above-mentioned methods and devices, an embodiment of the present application may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method for handling financial business fraud cases according to various embodiments of the present application described in the above-mentioned "Exemplary Method" section of this specification.

[0085] The computer program product may be written in any combination of one or more programming languages ​​to write program codes for performing the operations of the embodiments of the present application, including object-oriented programming languages, such as Java, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as an independent software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0086] In addition, an embodiment of the present application may also be a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processor executes the steps of the method for handling financial business fraud cases according to various embodiments of the present application described in the above "Exemplary Method" section of this specification.

[0087] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0088] The basic principles of the present application are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present application are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present application. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, not for limitation, and the above details do not limit the present application to being implemented by adopting the above specific details.

[0089] The block diagrams of the devices, apparatuses, equipment, and systems involved in this application are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagram. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including", "comprising", "having", etc. are open words, referring to "including but not limited to", and can be used interchangeably with them. The words "or" and "and" used here refer to the words "and / or" and can be used interchangeably with them, unless the context clearly indicates otherwise. The words "such as" used here refer to the phrase "such as but not limited to", and can be used interchangeably with them.

[0090] It should also be noted that in the apparatus, device and method of the present application, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present application.

[0091] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present application. Therefore, the present application is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0092] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present application to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A method for handling financial business fraud cases, characterized in that: include: Obtain case information on pending financial business fraud cases; Selecting a case investigator based on the match between the case investigator and the case information and the case handling performance of the case investigator; Acquire association information of the case information, wherein the association information includes relationship network information of the customer corresponding to the case information; as well as presenting the case information together with the associated information to a selected case investigator; Wherein, selecting a case investigator based on the matching degree between the case investigator and the case information and the case handling situation of the case investigator comprises: obtaining at least one of the case channel, product information, risk level and risk information in the case information; and Selecting a candidate case investigator based on the matching degree between the case investigator and the case channel and the product information and the on-the-job status of the case investigator; Wherein, selecting a case investigator based on the matching degree between the case investigator and the case information and the case handling situation of the case investigator further includes: Determining whether the candidate case investigator has any related cases based on the risk information; Determining the types of cases that the candidate case investigator is good at based on whether there are related cases; and The candidate case investigator is selected as a further candidate case investigator based on the case types that the candidate case investigator is good at.

2. The method for handling financial business fraud cases according to claim 1, characterized in that: Selecting a case investigator based on the matching degree between the case investigator and the case information and the case handling situation of the case investigator further includes: Determine the current case backlog for said further candidate case investigators; and The further candidate case investigator with the lowest current case backlog is selected as the selected case investigator.

3. The method for handling financial business fraud cases according to claim 1, characterized in that: Selecting a case investigator based on the matching degree between the case investigator and the case information and the case handling situation of the case investigator further includes: In response to there being multiple further candidate case investigators with the lowest current case backlog rate, a case investigator among the further candidate case investigators with the lowest current case backlog rate is randomly assigned to the pending financial business fraud case.

4. The method for handling financial business fraud cases according to claim 1, characterized in that: The associated information of the case information includes: Obtain at least one of customer information, credit information, and post-loan information associated with the case information from different systems inside and outside the financial institution.

5. The method for handling financial business fraud cases according to claim 1, characterized in that: The associated information of the case information includes: Using the customer information associated with the case information, a relationship network of the customer is constructed based on a knowledge graph.

6. The method for handling financial business fraud cases according to claim 5, characterized in that: The customer information includes at least one of the customer's mobile phone number information, address information, unit information, and contact information.

7. A financial business fraud case processing device, characterized in that: include: A case information acquisition unit, used to acquire case information of a pending financial business fraud case; An investigator selection unit, configured to select a case investigator based on a matching degree between the case investigator and the case information and the case handling status of the case investigator; A related information acquisition unit, used to acquire related information of the case information, wherein the related information includes relationship network information of the customer corresponding to the case information; as well as an information presenting unit, configured to present the case information together with the associated information to a selected case investigator; wherein at least one of the case channel, product information, risk level and risk information in the case information is obtained; and a candidate case investigator is selected based on the matching degree between the case investigator and the case channel and the product information and the on-the-job status of the case investigator; The investigator selection unit is further used to: determine whether the candidate case investigator has related cases based on the risk information; determine the type of cases the candidate case investigator is good at based on whether there are related cases; and, based on the type of cases the candidate case investigator is good at, select the candidate case investigator as a further candidate case investigator.

8. An electronic device, characterized in that: include: processor; as well as A memory, in which computer program instructions are stored, and when the computer program instructions are executed by the processor, the processor executes the method for handling financial business fraud cases as described in any one of claims 1 to 6.

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