Future Leaders Program - Data Intern

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

This opportunity may lead to selection into a two-year development rotational program following graduation.

The Finance Future Leaders Program Data and Analytics Track has the goal to develop future finance leaders by focusing on finance insights and solutions that enable data-driven decision-making across finance functions, leveraging strong technical skills and strategic thinking through mentorship, training modules, regular and timely performance feedback, and stretch projects that drive business improvement and efficiencies. Each rotational assignment will be approximately 8 months in length but may vary based on business need. Participants can expect to have exposure to assignments within data science, decision science, and business analytics.

Example Internship Assignments:

• Information Stewardship and Data Governance: Leads efforts to identify and remediate gaps in Finance Information Assets related to Enterprise Data Governance requirements. Builds and implements data monitoring rules using a variety of techniques and tools, supports data management efforts in adherence to USAA internal policies, standards, procedures, and external laws and regulations.

• Business Intelligence: Analyzes business problems and incidents using data from internal and external sources to provide insight to analysts and decision makers. Builds specifications for reports and analysis based on business needs and required or available data elements.

• Insight Delivery : Within defined guidelines and frameworks, consults with the business to understand and define opportunities and recommends solutions by analyzing data and providing key insights to advise decisions.

• Data Science: Within defined guidelines and framework, translates business problems into applied statistical, machine learning, simulation, and optimization solutions to advise actionable business insights and drive business value through automation, revenue generation, and expense and risk reduction.

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.

The internships will be based either at the USAA Corporate Headquarters in San Antonio, TX, or Charlotte, NC, based on business needs.

What you'll do:

Under direct supervision and following risk and compliance procedures and guidance, you will perform routine work assignments and problem resolution to support other team members tasks, including the following:

• Captures business requirements by partnering with customers to define the business problem and data needs.

• Ensures that information management practices: Metadata management, Data Quality, Data Lineage, Data Profiling, etc. are coordinated into appropriate business and technology processes in support of the Information Governance policy.

• Uses basic knowledge of multiple data structures and sources to support the development and implementation of business intelligence solutions, which may include data visualization, business intelligence, data transformation, or data collection.

• Develops partnerships with technology teams on the development of analytic infrastructures, data engineering, or related business intelligence enablement efforts. Includes collaborating on the design and implementation of technical standards and governance practices.

• Supports the delivery of business insights using machine learning, simulation, and optimization.

• Acquires knowledge of data analysis techniques, technologies, and methodologies. Works closely with more senior data scientists to perform hands-on model life cycle related tasks.

• Partners with senior team members to develop and deploy models within the Model Development Life Cycle (MDLC) and Model Risk Management (MRM) framework.

What you need to have:

To qualify, you must be a bachelor's degree or higher degree, from an accredited college or university, in mathematics, computer science statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline. Our 2027 internship will start on June 2, 2027 and last through August 13, 2027.

• Graduation date cannot be prior to August 13, 2027.

• 0 to 2 years of experience in Information or Data related practices to include: information governance, information management, information architecture, information technology, business analysis, and reporting.

• Foundational experience in one or more dynamic scripted language (Python, R, etc.) and database query language (such as SQL, HQL, NoSQL, etc.) for performing statistical analyses and/or building and scoring AI/ML models.

• Foundational knowledge of and experience with the concepts and technologies associated with classical supervised and unsupervised modeling.

• Experience with or interest in using AI-enabled tools to accelerate analysis, generate business insights, improve reporting, and support finance and business decision-making.

What sets you apart:

• Academic concentration in Finance, Business Analytics, Economics, Statistics, Mathematics, Data Science, or other quantitative or analytical fields.

• Knowledge and/or awareness of business intelligence and data management platforms (Tableau, Business Objects, Sigma, Snowflake, etc).

• Graduation date in Spring 2028.

• Prior relevant internship experience within data and analytics or business analytics.

Compensation range: The salary range for this position is: $27.50 - $36 hourly . Interns will receive an intern stipend to assist with expenses.

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.

For more details on our outstanding benefits, 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.