• Model Development & Analysis

    Location US-CA-Pasadena
    Job ID
    2018-5264
    Category
    Accounting/Finance
    Position Type
    Full-Time
  • Overview

    East West Bank is seeking a Model Development & Analysis.

    Responsibilities

    • Develop, implement and manage holistic strategies for modeling (design, development, validation, calibration, documentation, implementation, monitoring and reporting).
    • Provide financial and analytical, modeling expertise to build and improve quantitative models for various projects (including CECL, loss rate, PD, LGD, EAD models).
    • Identify and address potential process gaps or process improvements including: data model requirement, structure and use, policy governance and other quantitative tools. Effectively challenge the model’s conceptual soundness, assumptions, and appropriateness of model methodology.
    • Assemble, compile, and analyze information, and resolve errors/inconsistencies in data from financial reporting systems. Collaborate with business groups to develop effective modeling to accurately represent the risks and estimates developed and provided by various business units.
    • Conduct complex quantitative analysis as it applies to key business areas or specific types of models at a high level of complexity and risk. Conduct independent research and complex analytical projects involving industry and peer banks data.
    • Recommend, develop, manage, document and validate multiple scenario and stress forecasting models across multiple software platforms to be used in periodic scenario and stress testing exercises.
    • Review model results and provide model insights. Support ad hoc business analyses and business level variance analysis.
    • Documentation and communication of model performance for internal and external stakeholders. Develop presentations and written materials to convey the results of research and analysis projects to senior management and various risk committees.
    • Management of projects with third party vendors, consultants and internal resources to ensure efficient and effective support of various initiatives. Keep pace with the latest developments in academia, regulatory environment, risk technology (vendor and internal) and financial services industry.
    • Make recommendations within the context of job responsibilities; offer guidance on matters of significance. Assist in cross-training teams. Perform other assignments and special project analysis as requested by management.

    Qualifications

    • Advanced Degree (Masters) in Statistics, Applied Mathematics, Economics, Finance or other highly quantitative disciplines.
    • Must have 4+ years of experience in quantitative analysis positions for risk management, model development and validation in the financial, banking, consulting or audit industries. Direct experience with credit loss models is preferred.
    • Comprehensive practical knowledge of quantitative forecasting models, financial analysis techniques and methodologies. Strong understanding of stress testing, credit risk, financial risk, operations risk and their processes.
    • Strong quantitative analytical skills that can be applied to banking, financial markets, or credit cycles with the ability to break down complex problems into a small number of key issues. Proven ability to effectively interpret, select appropriate techniques, take independent action, communicate, and follow-through.
    • Ability to establish and maintain a stress testing framework, a governance structure around the stress testing program, and a standardized stress testing reporting infrastructure that will become a repeatable process.
    • Experience in establishing and documenting corporate processes related to Treasury, Credit, Finance and/or Accounting.
    • Ability to communicate complex analytical issues in understandable terms appropriate for management interactions (regulators, vendors, executives, etc.).
    • Strong management skills and experience. Demonstrate ability to successfully plan, develop, lead, and execute projects.
    • Proficiency with R or other statistical analysis software. Advanced skills in SQL. Proficiently use Microsoft Office tools to prepare and present analysis results to the audience.
    • Strong verbal and written communication skills.

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