Job Description

Salary: $127,310 - 243,340 per year Requirements:

• Bachelors degree in a quantitative field such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a related discipline with a core quantitative curriculum.
• Alternatively, 4 additional years of relevant experience may substitute for a degree.
• Minimum of 6 years of relevant experience in model validation, model development, statistical analysis, or advanced quantitative research.
• Or an advanced degree (e.g., Masters, PhD) in a quantitative field and 4 years of related experience.
• Proficient in conveying quantitative and technical concepts clearly to non-technical audiences, senior leadership, auditors, or regulators.
• Strong programming abilities in R, Python, SAS, Java, C, SQL, or other similar programming languages.
• Experience with at least three statistical, econometric, data science, or predictive modeling techniques, including, but not limited to, Unsupervised Learning, Linear Regression, Time-Series Forecasting, and Deep Learning Concepts.
• Comprehensive understanding of the operational and support functions within Banking or Insurance sectors.

• Conduct independent model validation control activities for high-risk internal and vendor models.
• Develop and implement validation testing plans using expert technical methodologies.
• Replicate model development and potentially create challenger models employing various modeling techniques including predictive modeling and machine learning.
• Design and implement model testing and data quality assessments utilizing diverse datasets.
• Oversee the end-to-end lifecycle of model development, implementation, monitoring, and usage in Banking and Insurance contexts.
• Evaluate model inherent risks, address model declassifications, and validate changes across various models.
• Supervise and provide guidance on the model validation tasks executed by colleagues.
• Generate and present validation reports and related documentation to model validation management and other stakeholders.
• Ensure that the model validation processes align with established risk and compliance policies.
• Assess the strengths of model risk controls throughout the modeling process.
• Stay updated on emerging modeling techniques and practices.

• Support
• Java
• Machine Learning
• Phoenix
• Python
• SAS
• SQL
• Security

More:

At USAA, our mission focuses on empowering our members toward financial security by providing competitive products, exceptional service, and trusted guidance. We are committed to being the top choice for the military community and their families. Join us for a rewarding career where our core values—honesty, integrity, loyalty, and service—shape our interactions. We are currently seeking a skilled individual to oversee comprehensive model risk validation activities. This role will require working in the office four days a week and is based in one of our locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. We pride ourselves on offering best-in-class benefits, including comprehensive health plans and career development opportunities.

last updated 52 week of 2025

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