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 similar field with Core Quantitative Curriculum.
• Alternatively, 4 additional years of relevant experience beyond the minimum education may be accepted in place of a degree.
• A minimum of 6 years experience in model validation, model development, statistical analysis, or advanced quantitative research, or an advanced degree (Masters or PhD) accompanied by 4 years related experience.
• Proven ability to communicate complex quantitative and technical concepts effectively, both verbally and in writing, to non-technical audiences, senior leadership, auditors, and regulators.
• Proficiency in programming languages such as R, Python, SAS, Java, C, SQL, or others for model and algorithm development, including specification setting, assumption testing, data quality assessments, variable selection, back-testing, and benchmarking.
• Advanced expertise in at least three statistical, econometric, data science, or predictive modeling techniques including but not limited to Unsupervised Learning, K-Means, Linear Regression, Time-Series/Forecasting, Stress Testing, Logistic Regression, Gaussian Process, Simulation Models, Boosting/Bagging Trees, Neural Networks, Deep Learning Concepts, and Bayesian Estimators.
• Strong understanding of the operational and support processes in Banking and/or Insurance, along with analytical modeling knowledge.

• Execute independent model validation controls for high-risk in-house and vendor models.
• Utilize expert technical methodologies to create and execute validation testing strategies.
• Replicate model development and potentially create challenger models utilizing predictive modeling, machine learning, deep learning, time-series forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and other specialized techniques.
• Design and conduct assessments for model testing and data quality across different data types, including extensive datasets and unstructured formats.
• Review comprehensive lifecycle management for model development, implementation, ongoing monitoring, and application within Banking and Insurance sectors, along with their associated support functions and operational procedures.
• Evaluate model inherent risk classifications, applications of model declassifications, material changes, and conduct model change validations across various model types.
• Oversee and guide the model validation efforts of colleagues.
• Generate and present validation reports and related findings to management, model partners, senior leadership, and other stakeholders.
• Implement the model validation framework in line with established risk and compliance policies and procedures.
• Assess strengths and weaknesses of model risk controls related to development, implementation, and usage.
• Engage in professional development regarding innovative modeling techniques and methodologies.

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

More:

At USAA, we are dedicated to empowering our members towards financial security with highly competitive products, outstanding service, and reliable guidance. We strive to be the top choice for the military community and their families. Join a rewarding career with us where our core values—honesty, integrity, loyalty, and service—shape our interactions with each other and our members. We offer a flexible work environment, requiring on-site presence 4 days a week, based in locations including San Antonio, TX; Plano, TX; Phoenix, AZ; Colorado Springs, CO; Charlotte, NC; or Tampa, FL. Candidates should note that relocation assistance is not provided for this role. We provide industry-leading benefits promoting the well-being of our employees, such as comprehensive medical, dental, and vision coverage, retirement plans, life insurance, paid time off, and wellness programs, alongside opportunities for career development.

last updated 51 week of 2025

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