Model Validator (Mid-Level) - Fraud/AML

USAASan Antonio, TX
Hybrid

About The Position

USAA is seeking a dedicated Model Validator (Mid-Level) to execute model risk validation oversight for the life-cycle management of models. This role involves conducting model validation activities in compliance with written risk and compliance policies and procedures, ensuring independence from model stewards throughout the model's lifecycle. The position offers a flexible work environment requiring 4 days in the office per week and can be based in San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not provided.

Requirements

  • 4 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research; OR advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 2 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
  • Experience communicating verbally and in-writing quantitative/technical concepts and conclusions to non-technical audiences and senior leadership.
  • Proficient programming skills in R, Python, SAS, Java, C, SQL, and/or other comparable programming languages for the iterative methodological tenants of model and algorithm development including setting model specifications, assumption testing, data quality assessments, variable selection, back-testing, benchmarking, and other robust model testing.
  • Working Experience with statistical, econometric, data science, or predictive modeling approaches including Linear Regression; Time-Series/Forecasting; Logistic Regression; Machine Learning.
  • Business context knowledge in operational and support functions of Banking and/or Insurance as well as associated modeling and analytics knowledge.

Nice To Haves

  • US military experience through military service or a military spouse/domestic partner.
  • Model development or validation in Fraud, Anti-Money Laundering (AML), Member Identity and Access Management.

Responsibilities

  • Executes independent model validation control activities for lower risk, in-house and vendor, models.
  • Conducts validation activities for low-risk, in-house models, and assists, under supervision and in collaboration with peers, on higher risk, complex and vendor models.
  • Conducts back-testing, diagnostic testing, sensitivity analysis, benchmarking, and other validation tests/analyses on lower risk models; collaborates with senior-level validators for higher risk models.
  • Executes and assists in replicating model development and may help develop challenger models through principles of predictive modeling, machine learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, and/or other techniques.
  • Reviews at a working experience level the end-to-end life-cycle management of model development, implementation, ongoing monitoring, and use in areas of Banking and Insurance (Property & Casualty and Life) along with their corresponding business support functions and operational processes.
  • Assesses the materiality of model changes and conducts model change validations.
  • Produces and delivers validation reports and related validation work to model validation management and model stakeholders.
  • Executes the independent model validation process compliant with the written risk and compliance policies and procedures at a working experience level.
  • Evaluates model risk control strengths around model development, implementation, and use.

Benefits

  • Comprehensive medical, dental and vision plans
  • 401(k)
  • Pension
  • Life insurance
  • Parental benefits
  • Adoption assistance
  • Paid time off program with paid holidays
  • 16 paid volunteer hours
  • Various wellness programs
  • Career path planning
  • Continuing education
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