• Job Description

  Req#: R0095787

  Why USAA?

  Let’s do something that really matters.
  
  At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all of our employees served in our nation’s military, but we all share in the mission to give back to those who did. We’re working as one to build a great experience and make a real impact for our members.
  
  We believe in our core values of honesty, integrity, loyalty and service. They’re what guides everything we do – from how we treat our members to how we treat each other. Come be a part of what makes us so special!

  The Opportunity

  Our internship program lets you showcase your skills, while gaining real-life experience that’ll help you jump-start your career. Our interns deliver innovative solutions to real business challenges, while building enduring relationships in a collaborative culture with their manager and an assigned mentor.

  Under direct supervision, you will perform routine work assignments and problem resolution to support other team members tasks. Modeling and Machine Learning Scientist Interns develop, review, and / or implement various types of models. Interns will use sophisticated modeling and machine learning techniques to address important business problems and communicate insights and business impact of model-based solutions to partners. This internship supports the Bank Credit Risk department that is responsible for the development and management of credit risk strategies for consumer credit portfolios with the goal of achieving profitable growth while mitigating risk. Interns will get an in-depth look into credit risk management and the key drivers, trends, and challenges facing the banking industry overall.

  The internship is based at USAA Corporate Headquarters in San Antonio, TX. Interns offered full-time roles may have the opportunity to work out of one of USAA’s satellite locations.

  Our Modeling and Machine Learning Scientist Interns, work under direct supervision and following risk and compliance procedures and guidance, perform routine work assignments and problem resolution to support other team members, including the following tasks:

  • Supports development, review, or implementation of model development tasks while working with more senior peers.
  • Communicates modeling insights to technical and non-technical audiences and partners.
  • Conducts model development and/or model review using identified approaches. Receives input from leaders and more senior peers for enhanced modeling efforts. Applies 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 sophisticated techniques to solve important business problems.
  • Partners with business, data teams and senior peers to ideate, and / or review powerful and high- quality data features for modeling and machine learning.
  • Assists in building for the future by conducting research on the latest machine learning techniques, large-scale computing, automation, or standard processes in model risk.
  • Uses broad technology stack that includes Python, R, or SAS to develop or evaluate modeling or machine learning solution.
  • Assists to maintain, build, and/or review automation tools and repeatable code base, crafted to promote reproducible research, and to reduce operational risks and costs to the organization.
  • Conduct and/or reviews development and automation of performance monitoring tools to maintain modeling and machine learning solutions.
  • Ensures risks associated with business activities are effectively identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures.

  What you need to have:

  To qualify, you must be pursuing a degree from an accredited college or university, and plan to graduate after the final day of the internship. Most of our interns participate the summer between their junior and senior years. Our 2024 internship will start on May 29, 2024 and last through August 9, 2024.

  • Pursuing a bachelor’s degree in a quantitative field, such as Mathematics, Statistics, Data Science, Computer Science, or a related quantitative STEM field (Science, Technology, Engineering, and Math).
  • Graduation date cannot be prior to August 10, 2024
  • 0 to 2 years in predictive modeling, model governance, machine learning or large data analysis. OR Advanced Degree (e.g., Master’s, PhD) in quantitative field, such as Mathematics, Statistics, Data Science, Computer Science, or a Related quantitative STEM field (Science, Technology, Engineering, and Math).
  • Experience, to include graduate level coursework, in developing or reviewing modeling solutions based on broad range of modeling and machine learning techniques – e.g., 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, simulation methods, or other advanced techniques.
  • Understanding of underlying theory and algorithms used to implement modeling and machine learning techniques and methods.
  • Understanding of standard processes in using modeling and machine learning methods to solve real-life problems.
  • Working experience in or advanced degree work directly related to developing or reviewing modeling solutions based on Python, R, SAS or other technology stack.
  • Basic knowledge of technical documentation writing.

  What sets you apart:

  • Graduation date between August 2024 and July 2026
  • Pursuing a master’s degree in a quantitative field, such as Mathematics, Statistics, Data Science, Computer Science, or a related quantitative STEM field (Science, Technology, Engineering, and Math)
  • Experience with programming languages to include Python, R, and SAS
  • Research papers, publications or other projects involving use of statistical, machine learning methods, data analysis and modeling

  USAA views its internship program as a pipeline to possible future employment. This is based on an individual’s graduation date, performance, role qualifications, and business need. To be considered for possible future employment opportunities interns must meet the full-time work eligibility requirements for any given role. Thus, interns should ensure their sponsorship status and other provided information is accurately reflected on their intern application. Inadequate completion of your application may render you ineligible for further consideration in the hiring process.

  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.

  What we offer:

  Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the hourly range based on your experience and market data of the position. The actual hourly rate for this role may vary by location. The range for this position is: $23 - $34.

  Interns will receive an intern stipend to assist with expenses.

  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.

  For more details on our outstanding benefits, please visit our benefits page on USAAjobs.com.

  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.

• About the company

  The United Services Automobile Association (USAA) is a San Antonio-based Fortune 500 diversified financial services group of companies including a Texas Department of Insurance-regulated reciprocal inter-insurance exchange and subsidiaries offering banking, investing, and insurance to people and families who serve, or served, in the United States Armed Forces. Since 1922, USAA has served the military community and their families.

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