Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)

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Research on the Construction of Intelligent Risk Control Service Platform for Financial Institutions under Big Data Technology

Authors
Fan Zhang1, *, Yuhao Liao2, Ye Ding1
1School of Economics and Trade, ShangHai Urban Construction College, 201415, Shanghai, China
2Business School, University of ShangHai for Science and Technology, 200093, Shanghai, China
*Corresponding author. Email: zfansky@163.com
Corresponding Author
Fan Zhang
Available Online 4 December 2023.
DOI
10.2991/978-94-6463-304-7_52How to use a DOI?
Keywords
Big data; Internet financial risks; Machine learning algorithms; Hadoop; Computer software applications
Abstract

Due to the rapid change of financial technology, Internet finance has encountered a series of risk problems while continuously optimizing financial services, and the original risk control measures of financial institutions can no longer meet the current application needs. In this regard, based on the current risk control system of Internet financial institutions, this paper will propose a set of construction scheme of intelligent risk control service platform, aiming at taking advantage of the advantages of big data technology in risk control and optimization, thus helping financial institutions to assess risks conveniently and efficiently, monitor abnormal behaviors and realize sustainable risk management. The platform takes Hadoop cluster as data management and processing server, and combines Javaweb technology to form a comprehensive application service platform integrating online application, model operation, visual analysis and other functions. Practice has proved that the platform can use Logistic and XGBoost models to evaluate credit and behavior, effectively identify potential risk factors, and provide necessary data support for risk management of Internet financial institutions.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
4 December 2023
ISBN
10.2991/978-94-6463-304-7_52
ISSN
2589-4900
DOI
10.2991/978-94-6463-304-7_52How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Fan Zhang
AU  - Yuhao Liao
AU  - Ye Ding
PY  - 2023
DA  - 2023/12/04
TI  - Research on the Construction of Intelligent Risk Control Service Platform for Financial Institutions under Big Data Technology
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 504
EP  - 510
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_52
DO  - 10.2991/978-94-6463-304-7_52
ID  - Zhang2023
ER  -