Integrating Risk Management in Fintech and Traditional Financial Institutions through AI and Machine Learning

风险管理 金融服务 业务 操作风险管理 风险分析(工程) 金融科技 金融创新 财务风险 财务风险管理 IT风险管理 操作风险 模型风险 风险管理框架 财务
作者
Bibitayo Ebunlomo Abikoye,Wunmi Adelusi,Stanley Chidozie Umeorah,Adesola Oluwatosin Adelaja,Cedrick Agorbia-Atta
出处
期刊:Journal of economics, management and trade [Sciencedomain International]
卷期号:30 (8): 90-102 被引量:1
标识
DOI:10.9734/jemt/2024/v30i81236
摘要

The rapid evolution of financial technology (fintech) has significantly transformed the financial services landscape, creating opportunities for innovation and introducing new risks. Traditional financial institutions and fintech companies operate under different paradigms, resulting in disparate risk management practices. This paper proposes a comprehensive framework for integrating operations and risk management practices between traditional financial institutions and fintech companies. By leveraging advanced technologies such as artificial intelligence (AI) and machine learning (ML), the framework aims to ensure consistent and effective risk assessment across the financial sector. The financial services industry is characterized by rapid innovation, primarily driven by fintech companies offering various services that enhance efficiency, accessibility, and customer satisfaction. However, the growth of fintech brings substantial risks, including cyber threats, data privacy concerns, regulatory compliance challenges, and operational vulnerabilities. Traditional financial institutions prioritize stability, security, and compliance within established risk management frameworks. The divergence in operational models and risk management approaches creates a fragmented risk landscape, posing significant challenges to the financial system's stability and security. This paper identifies the critical need for a unified framework integrating the risk management practices of traditional financial institutions and fintech companies. The proposed framework leverages AI and ML to enhance the accuracy and comprehensiveness of risk assessments, utilizing a centralized data repository for real-time risk assessment. Unified risk management policies covering cybersecurity, operational risk, regulatory compliance, financial crime, and real-time monitoring and reporting tools ensure robust risk management protocols and prompt response to potential risks. Aligning with regulatory requirements and incorporating best practices from both sectors, the integrated risk management approach enhances the financial ecosystem's stability, security, and public confidence.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
泡泡茶壶o完成签到 ,获得积分10
10秒前
枫于林完成签到 ,获得积分10
13秒前
沫荔完成签到 ,获得积分10
15秒前
张振宇完成签到 ,获得积分10
19秒前
19秒前
奋斗哈密瓜完成签到,获得积分20
20秒前
研友_Z1eDgZ完成签到,获得积分10
24秒前
25秒前
路冰发布了新的文献求助10
32秒前
了凡完成签到 ,获得积分10
46秒前
47秒前
研友_VZG7GZ应助奋斗哈密瓜采纳,获得10
50秒前
逢场作戱__完成签到 ,获得积分10
55秒前
Ding-Ding完成签到,获得积分10
56秒前
向阳生长的花完成签到 ,获得积分10
57秒前
57秒前
研友_ZG4ml8完成签到 ,获得积分0
1分钟前
愉快无心完成签到 ,获得积分10
1分钟前
1分钟前
干净的芮完成签到,获得积分10
1分钟前
小旭不会飞完成签到,获得积分10
1分钟前
沙里飞完成签到 ,获得积分10
1分钟前
烟花应助梓树采纳,获得30
1分钟前
wxyinhefeng完成签到 ,获得积分10
1分钟前
阔达的棒棒糖完成签到,获得积分10
1分钟前
1分钟前
daisy发布了新的文献求助10
1分钟前
秋思冬念完成签到 ,获得积分10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
1分钟前
cdercder应助科研通管家采纳,获得10
1分钟前
HY完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
Cai发布了新的文献求助10
1分钟前
又胖了发布了新的文献求助10
1分钟前
彼得大帝完成签到,获得积分10
1分钟前
1分钟前
阿鑫完成签到 ,获得积分10
1分钟前
ranjeah完成签到 ,获得积分10
1分钟前
梓树完成签到,获得积分20
1分钟前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Production Logging: Theoretical and Interpretive Elements 3000
CRC Handbook of Chemistry and Physics 104th edition 1000
Density Functional Theory: A Practical Introduction, 2nd Edition 890
Izeltabart tapatansine - AdisInsight 600
Introduction to Comparative Public Administration Administrative Systems and Reforms in Europe, Third Edition 3rd edition 500
Distinct Aggregation Behaviors and Rheological Responses of Two Terminally Functionalized Polyisoprenes with Different Quadruple Hydrogen Bonding Motifs 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3761032
求助须知:如何正确求助?哪些是违规求助? 3304934
关于积分的说明 10131291
捐赠科研通 3018754
什么是DOI,文献DOI怎么找? 1657844
邀请新用户注册赠送积分活动 791708
科研通“疑难数据库(出版商)”最低求助积分说明 754567