Model Risk Management Systems-Back-End, Middleware, Front-End and Analytics

Hevel Jean-Baptiste, Meikang Qiu, Keke Gai, Lixin Tao
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引用次数: 7

Abstract

Building an effective Model Risk Management (MRM) system requires advanced skills in mutliple fields, such as technology, econometrics, and business. It is a dilemma that MRM practitioners are struggling with. Very often the enterprises are seeking someone who can understand their business ideas and transform them to technology solutions or come up with technology solutions to support their MRM ideas. However, many quantitative analysts fail in the required software development skills, while they are critical in this type of the project. We are witnesses these struggles where some model risk leaders fail in finding competent technologists or econometricians to implement their risk management philosophy. Also we have cases where technologists or econometricians cannot receive proper requirements to implement the functionality that the business needs. In this paper, we propose a MRM framework based on a review of MRM systems. Also we present the methodology of producing an effective MRM system.
模型风险管理系统-后端,中间件,前端和分析
建立一个有效的模型风险管理(MRM)系统需要多个领域的高级技能,例如技术、计量经济学和商业。这是MRM从业者正在努力解决的一个难题。很多时候,企业都在寻找能够理解他们的商业理念并将其转化为技术解决方案的人,或者提出技术解决方案来支持他们的MRM理念。然而,许多定量分析人员在所需的软件开发技能上失败了,而他们在这种类型的项目中是至关重要的。我们目睹了这些斗争,其中一些模型风险领导者未能找到称职的技术专家或计量经济学家来实施他们的风险管理哲学。此外,我们还遇到技术人员或计量经济学家无法获得实现业务所需功能的适当需求的情况。在本文中,我们在回顾MRM系统的基础上提出了一个MRM框架。此外,我们提出了生产一个有效的MRM系统的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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