Quantitative Jobs in Phoenix, AZ

The Opportunity

As a dedicated Model Validator, you will execute model risk validation oversight for the life-cycle management of models which includes conducing model validation activities. The incumbent will execute the model validation oversight process compliant with the written risk and compliance policies and procedures which require independence from model stewards (e.g., model owners, developers, implementers, users, and other stakeholders) throughout the lifecycle of the model's use and maintenance.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL.

Relocation assistance is not available for this position.

What you'll do:

• Executes independent model validation control activities for high risk in-house and vendor models.
• Leverages expert technical approaches to develop and execute validation testing plans.
• Replicates model development and may develop challenger models through predictive modeling, machine learning, deep learning, time-series modeling/forecasting, stress testing, heuristic models, actuarial models, simulation, optimization, and/or other highly specialized techniques.
• Conducts and develops plans for model testing and data quality assessments for models using various types of datasets including those leveraging large datasets and unstructured datasets.
• Reviews at an extensive experience level the end-to-end life-cycle management of model development, implementation, ongoing monitoring, and use in areas of Banking along with their corresponding business support functions and operational processes.
• Assesses model inherent risk ratings, model declassifications applications, the materiality of model changes, and conducts model change validations for all types models. Oversees and advises the model validation work of peers.
• Produces and delivers validation reports and related validation work to model validation management, model stakeholders, senior leadership, and others.
• Executes the independent model validation process compliant with the written risk and compliance policies and procedures at an extensive experience level. Evaluates model risk control strengths around model development, implementation, and use. Professionally develops on emerging modeling techniques and approaches.

What you have:

• Bachelor's degree in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or a Related Field with Core Quantitative Curriculum.
• Four additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
• 6 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 4 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
• Experience driving communication verbally and in writing quantitative/technical concepts and conclusions to non-technical audiences, senior leadership, auditors, and/or regulators.
• Strong 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.
• Extensive Experience with at least three of the following statistical, econometric, data science, and predictive modeling approaches: 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; Bayesian Estimators.
• Strong business context knowledge in operational and support functions of Banking and/or Insurance as well as associated modeling and analytics knowledge.

What sets you apart:

• Experience with common modeling program languages such as SAS or Python
• Experience developing and/or validating models using common econometric modeling techniques such as logistic regression, ols, and time series methods.
• Experience developing and/or validating machine learning and/or artificial intelligence (AI/ML) models
• Experience working with common bank modeling exercises such as stress testing, reserving, asset/liability management, deposit forecasting, pricing, or credit origination.
• Strong interpersonal and written communication skills
• Post-graduate degree in a quantitative field.

Compensation range: The salary range for this position is: $127,310- $243,340.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.