Job Description

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

• Bachelors degree in a quantitative discipline, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or related fields with a core quantitative foundation.
• Four additional years of relevant experience may substitute for a degree.
• Minimum of 6 years of experience in model validation, model development, statistical analysis, and/or advanced quantitative research OR an advanced degree (e.g., Masters, PhD) in a quantitative field along with 4 years of experience in similar areas.
• Proven ability to communicate complex quantitative/technical concepts clearly to non-technical stakeholders, senior management, auditors, and/or regulatory bodies.
• Strong programming expertise in R, Python, SAS, Java, C, SQL, and/or similar programming languages for comprehensive model and algorithm development processes.
• Extensive familiarity with at least three of the following methodologies: Unsupervised Learning, K-Means, Linear Regression, Time-Series Forecasting, Stress Testing, Logistic Regression, Gaussian Processes, Simulation Models, Boosting/Bagging Trees, Neural Networks, Deep Learning methods, Bayesian Estimators.
• Strong understanding of the operational and support functions in Banking and/or Insurance, along with associated modeling and analytics knowledge.

• Execute independent model validation control activities for high-risk in-house and vendor models.
• Utilize advanced technical methodologies to craft and implement validation testing plans.
• Replicate model development as necessary and potentially create challenger models using various advanced techniques such as predictive modeling, machine learning, deep learning, and more.
• Create comprehensive testing plans and conduct data quality assessments for models using diverse datasets, including large and unstructured data.
• Review the complete lifecycle of model development, implementation, ongoing monitoring, and operational processes in Banking and Insurance sectors.
• Evaluate model inherent risk ratings, assess model declassifications, and validate changes to models accordingly.
• Guide and supervise the model validation efforts of team members.
• Prepare and present validation reports to model validation management, partners, senior leadership, and other stakeholders.
• Ensure the model validation process aligns with risk and compliance policies and practices.
• Analyze model risk control strengths throughout model development and usage phases.
• Advance professional knowledge in innovative modeling techniques and methodologies.

• Support
• Java
• Machine Learning
• Phoenix
• Python
• SAS
• SQL
• Security
• AI
• Azure
• Cloud
• GCP

More:

At USAA, we are dedicated to empowering our members in achieving their financial security through competitive products, exceptional service, and trusted advice. As the leading choice for the military community and their families, we pride ourselves on our core values of honesty, integrity, loyalty, and service. You will join a team that emphasizes meaningful impact and personal fulfillment in the workplace. This role entails a flexible work arrangement requiring in-office presence for 4 days a week, with opportunities available in various locations including San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, and Tampa, FL. We offer a comprehensive benefits package to support our employees well-being, including medical, dental, and vision plans, retirement options, life insurance, paid time off, and more.

last updated 1 week of 2026

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