Employer: USAA Federal Savings Bank
Tasks: Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities. Develops, reviews, or implements major model components for various types of models. Identifies or reviews model-based business solutions to improve Business strategies. Communicates modeling insights to technical and non-technical audiences and stakeholders. Conducts model development and/or review efforts utilizing modeling and machine learning techniques such as linear and logistic regressions, time series methods, survival analysis, support vector machines, neural networks, decision trees, random forests, gradient-boosting methods, deep learning, k-means and other clustering methods, various simulation methods, or other advanced techniques to solve important business problems. Partners with business and data teams to ideate, and / or review powerful and high- quality data features for modeling and machine learning. Leverages broad technology stack that includes Python, R, or SAS to develop or evaluate modeling or machine learning solution. Builds for the future by conducting research on latest machine learning techniques, large-scale computing, automation, or best practices in model risk. Educates modeling and data science community on findings. Maintains, creates, and/or reviews automation tools and repeatable code base, designed to promote reproducible research, and to reduce operational risks and costs to the organization. Creates or reviews model-based solutions and accompanying technical documentation consistent with regulatory requirements and works with other lines of defense as needed. Conducts and/or reviews development and automation of performance monitoring tools to maintain modeling and machine learning solutions. May telecommute. (Ref: 20972.433).
Requirements: Bachelor's degree in Mathematics, Statistics, Data Science, Computer Science, Business Analytics or related field and 6 years of experience in the job offered or in a Quantitative Analyst-related occupation. In the alternative, will accept a Master’s degree in Mathematics, Statistics, Data Science, Computer Science, Business Analytics or related field and 4 years of experience in the job offered or in a Quantitative Analyst-related occupation.
Position requires experience in the following:
Performing Model Risk Management using knowledge of model governance policies, standards, and procedures based on general regulatory guidelines;Understanding internal and external regulatory requirements using SR Letter 11-7 Supervisory Guidance on Model Risk Management;Experience performing statistical modeling using advanced techniques including machine learning, clustering, decision trees, and linear/logistic regression;Data Science experience, including Snowflake, SQL, and Hadoop; andProgramming experience with R, Python, Tableau, and SASWorksite: 5601 Legacy Drive, Plano, Texas 75024
Relocation assistance is Not Available for this position.
This position is eligible for the Employee Referral Program.
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. Please click on the link below for more details.
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Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.
USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.