BBVA Compass


    Job ID
    FLSA Status
  • Responsibilities

    This role will provide fraud modeling and analytical supports for consumer banking. THe Fraud Risk Analyst will be responsible for assuring the model governance process, including all required documentation, data, and monitoring frameworks are established and completed.  They should also be familiar with a wide variety of statistical modeling, algorithms and techniques, and their uses to design fraud prevention solutions at both pre-book and post-book for deposit and credit products.   



    • Manages the relationship with business partners and external vendors for model design, development, implementation, validation and model governance requirements
    • Creating and maintaining model documentation to comply with SR 11.7 and BBVA Compass model risk framework
    • Evaluate the effectiveness of existing models in use and recommend optimization within fraud prevention rules
    • Fundamental understanding of advanced machine learning algorithms such as Neural Networks, Decision Trees, Clustering, Text mining, etc.
    • Manage model risk management process on existing model inventory, including model overseeing validation, response to questions and assisting in development of action plans to address model deficiencies
    • Ad hoc analysis on fraud trends as appropriate



    • M.S. in Statistics, Computer Science, Engineering, Applied Mathematics, or other quantitative fields.
    • Experience managing and manipulating large relational data sources
    • 1+ years experience in financial industry in a quantitative role
    • Proven data-mining and analytics experience is required. Familiarity with different machine learning algorithms (Linear and Logistic Regression, Clustering Techniques, Neural Network, Decision Trees, etc.).
    • Advanced knowledge in at least one of the following software: SQL, SAS, R, Python
    • Familiarity with wide array of fraud vendors, tools, applications and solutions (FICO, VISA, TSYS Falcon, Lynx, VRM, CardGuard, Determinator, EWS, Detica, etc.)
    • Strong written and verbal communication skills
    • Organized and detail oriented
    • interpersonal skills with the ability to interact with all levels of internal and external contacts.
    • Proven ability to work autonomously with minimal oversight to move projects forward


    • 3+ Years Experience in Financial Services
    • 2+ years consumer banking fraud experience
    • 1+ Model Validation or Model Development experience
    • Spanish/English bilingual
    • Working knowledge of the deployment of credit / fraud models and monitoring techniques


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