• Quantitative Data Model Validation

    Location US-CA-Pasadena
    Job ID
    2018-6085
    Category
    Audit/Risk Management
    Position Type
    Full-Time
  • Overview

    For more than 40 years, East West Bank has served as a pathway to success. With over 130 locations across the U.S. and Greater China, we are the premier financial bridge between the East and West. Our teams of experienced, multi-cultural professionals help guide businesses and community members on both sides of the Pacific looking to explore new markets and create new opportunities. And our sustained growth and expertise in industries like real estate, entertainment and media, private equity and venture capital, high-tech and aviation help build sustainable businesses and expand our employees’ potential for career advancement.

     

    Headquartered in California, East West Bank (Nasdaq: EWBC) is a top performing commercial bank with an exclusive focus on the U.S. and Greater China markets. With assets of $37.7 billion, we’re ranked among the 30 largest banks in the United States and currently top 5 in “America’s 100 Best Banks” by Forbes, a list where we've consistently been in the top 15 since 2010. With a strong foundation, an enterprising spirit and a commitment to absolute integrity, East West Bank gives people the confidence to reach further.

     

    East West Bank is seeking a Quantitative Data Model Validation. The Quantitative Data Model Validation will join our Model Risk Management function reporting to the Model Risk Management Officer. Model Risk Management is an integral part of East West Bank's Enterprise Risk Management department. This role will be integral in helping manage the model risk framework of the Bank and be responsible for assisting in performing internal model validations and related documentation. This role also will require communicating with individuals throughout the institution regarding risk practices both model-related and other (e.g., risks such as credit, market, liquidity, operational, legal/reputational, etc.).

    Responsibilities

    • Performing comprehensive and well thought-out quantitative analyses and justifying the results in a rigorous manner
    • Programing skills using R, Python, SAS, or other data interrogation application
    • Clear and detailed written reports to document model validation approach and assumptions utilized, mathematical analysis performed, and conclusions reached
    • Assist in the performance of risk assessments on different business units, as well as assisting business units in performing self-assessments
    • Assist in the preparation of presentations for executive management, model risk committees, and the Board of Directors' risk committees.
    • Possess strong organizational skills with a demonstrated ability to prioritize tasks, juggle multiple projects, and meeting assigned deadlines
    • Ability to make sound risk/reward decisions
    • Ability to consciously balance data, logic and intuition in all activities
    • Assist in model and risk management governance and administration
    • Perform ad-hoc risk management duties, special projects, and administrative tasks as requested

    Qualifications

    • 5 -10 years of work experience in risk management, compliance, or a monitoring function in a quantitative analytical capacity
    • A strong working knowledge of regression models and other statistical modeling
    • Demonstrated critical thinking and business judgment
    • A strong working knowledge of MS Office Software Suite (Word, Excel, Access, PPT)
    • Proven, proactive approach to problem solving and workflow analysis
    • Team player and demonstrated ability to be flexible and easily shift among tasks and varying projects
    • A strong understanding of risk management in financial institutions is a plus
    • A strong written, verbal, organizational and presentation skills is a plus
    • Familiarity with capital stress testing is a plus
    • Candidate must have strong organizational skills, with the ability to effectively manage multiple deliverables and be able to identify and implement process improvements. Must be self- motivated and able to work effectively both independently and as a team.

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