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 a related field with core quantitative curriculum.
• Four additional years of relevant experience may substitute for a degree.
• A minimum of 6 years of related 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 with 4 years of related experience.
• Proficient in communicating complex technical concepts effectively to non-technical audiences, senior leadership, auditors, and/or regulators.
• Strong programming skills in R, Python, SAS, Java, C, SQL, and/or other similar programming languages for model and algorithm development.
• Extensive experience with at least three statistical, econometric, data science, and predictive modeling techniques such as Unsupervised Learning, K-Means, Linear Regression, Time-Series/Forecasting, Stress Testing, Logistic Regression, and Neural Networks.
• Solid understanding of operational and support functions in Banking and/or Insurance, along with corresponding modeling and analytics knowledge.

• Execute independent model validation control activities for high-risk in-house and vendor models.
• Develop and implement validation testing plans using expert technical methodologies.
• Replicate model development and may create challenger models employing predictive modeling, machine learning, and other advanced techniques.
• Design and execute model testing and data quality assessments utilizing diverse datasets, including large and unstructured data.
• Review and oversee the complete life-cycle management of model development, implementation, ongoing monitoring, and operational processes in Banking and Insurance.
• Evaluate model inherent risk ratings and conduct model change validations across various types of models.
• Supervise and mentor model validation efforts of peers.
• Produce and present validation reports and related documentation to management and stakeholders.
• Align model validation process with established risk and compliance policies and procedures.
• Assess strengths in model risk control surrounding development, implementation, and usage.

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

More:

At USAA, we are dedicated to supporting our members in achieving financial security through competitive products, outstanding service, and trusted advice. We proudly serve the military community and their families. Our core values of honesty, integrity, loyalty, and service guide our interactions with both our team members and our members. We provide a flexible work environment, requiring presence in the office four days a week at one of our locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. With our comprehensive benefits package, we prioritize the physical, financial, and emotional well-being of our employees, fostering continuous professional growth and development.

last updated 1 week of 2026

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