• 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