BBVA Compass

  • Model Validation - Sr Risk Officer

    Job ID
    FLSA Status
    EOE Statement
    Equal Opportunity Employer - Minority/Female/Disability/Veterans.
  • Overview

    At BBVA, we are working to make banking better for everyone. That is where you come in. We are looking for smart, team oriented people who want to be part of a first-class workforce that gives people the tools they need to meet their financial goals, all while delivering an outstanding client experience. Learn more below.


    BBVA Compass is seeking a Senior Quantitative Analyst in Atlanta, GA or Birmingham, AL to be responsible for independent model validation. The candidate must have previous experience in quantitative modeling and or validation. The candidate must possess excellent communication, writing and presentation skills.


    Specific duties include:


    Perform independent model validations on credit risk (Retail & Commercial portfolio), including origination, account management, collections, relationship, retention models and loss forecasting models; and on specialized models ( ALLL, Fraud, AML, Economic and Regulatory Capital) and CCAR stress-testing models and processes.

    • Review the underlying assumptions, theory, empirical evidence, back testing and benchmarking the model performance.
    • Work with model developers to gather data, document and plan model validations, present the findings of these validations to senior management. 
    • Working closely with model users, developers and risk management colleagues to facilitate the model validation process
    • Staying abreast of changes in financial industry and regulatory environment and assessing the impact thereof on model risk.



    Required Qualifications

    • At least, a Master’s degree in Economics, Quantitative Finance, Statistics, Mathematics or Physics.
    • 5+ years of statistical modeling experience or hands-on model validation experience with a deep understanding of credit risk assessment processes and approaches in the financial services industry or a combination of modeling and validation
    • Experience in developing and maintaining econometric models using discrete, cross-section, time series analysis and panel data for predictive and forecasting analytics.
    • Ability to use modeling tools: SQL, VBA, Matlab, R and/or SAS, and Numerical methods.
    • Experience with Python will be a plus.
    • Knowledge of database management and financial risk methods a plus.
    • Familiarity with SR11-7/OCC2011-12 and SR15-19 guidance is highly desired.


    Must meet credit history and criminal background requirements associated with Financial Industry Regulatory Authority registration process, to include FBI fingerprint criminal history, review of credit report, civil litigation, liens, and other public records.



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