Why USAA?
At USAA, we have an important mission: facilitating the financial security of millions of U.S. military members and their families. Not all 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
What you’ll do:
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 leverage sophisticated modeling and machine learning techniques to tackle important business problems and communicate insights and business impact of model-based solutions to stakeholders. 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.
What you need to have:
To qualify, you must be pursuing a bachelor’s degree or higher at a 4-year 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 09, 2024.
- Pursuing a bachelors 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 August 10, 2024
- 0 to 2 years of related experience and accountability for simple to moderately complex tasks and/or projects required
- Foundational and conceptual knowledge of modeling and machine learning and proven application of knowledge, skills and abilities towards work products required
- Foundational level of business acuity in the areas of the business operations, industry practices and emerging trends required
What sets you apart:
- Graduation date between August 10, 2024, and July 2025
- 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
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: $24 – $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.
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.