DocumentCode :
3722510
Title :
Model Risk Management Systems-Back-End, Middleware, Front-End and Analytics
Author :
Hevel Jean-Baptiste;Meikang Qiu;Keke Gai;Lixin Tao
Author_Institution :
Dept. of Comput. Sci., Pace Univ., New York, NY, USA
fYear :
2015
Firstpage :
312
Lastpage :
316
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.
Keywords :
"Mathematical model","Risk management","Computational modeling","Computer architecture","Cloud computing","Analytical models"
Publisher :
ieee
Conference_Titel :
Cyber Security and Cloud Computing (CSCloud), 2015 IEEE 2nd International Conference on
Type :
conf
DOI :
10.1109/CSCloud.2015.67
Filename :
7371500
Link To Document :
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