Summer 2026 Internship – Auto Analytics - Loss Forecasting and Credit Risk
The Opportunity
We’re in the business of putting people first and we’ve been doing just that for over 100 years. Our mission isn’t performative either: we show up for our customers when it comes to their financial needs. We’re making banking smarter and simpler while serving our communities. We value and encourage the mantra of working better together.
That’s where you come into play. Test drive the tools in your educational toolbox and learn some new skills along the way with an 11-week paid internship with us. Your internship with Ally will move you from educated to experienced.
The Ally Internship Program guides and mentors students with development opportunities and experiences that support your career interests while also driving the business forward. You’ll have the opportunity to connect with diverse teams and functions across the company. You will interact with Ally’s leadership and learn from their personal successes. You will gain the experience to know what it means to be an Ally!
As part of our Internship Program, you will have an opportunity to:
- Have hands on experience and project-based work
- Attend Orientation, Executive Speaking Series, and learning sessions as an Intern cohort
- Participate in Mentoring Program and Giving Back Events
- Network with your peers, your team, and those Allys you find interesting
- Lead an end of assignment presentation
The Details
- Internship Program Timing: May 26 – August 7, 2026
- 40 hours each week with a mix of in-office and remote working days
- Project-based work
- Market competitive hourly compensation and a sign-on bonus, as well as financial housing assistance for those who qualify
- Successful interns will have the opportunity to return to Ally in an Early Talent Program or full-time role, or to a second internship, depending upon graduation timing.
The Work Itself
Interning within Auto Analytics means being part of a team that is responsible for the development, delivery, and support of technologies and tools that enable management of Dealer Financial Services-related data. We partner with Ally’s businesses to supply the data that fuels our company’s ability to make informed decisions, solve business problems, innovate, and capitalize on opportunities.
Throughout the duration of the 11-week program, you'll have the ability to hone your skills in analytical thinking, communication, collaboration, and problem-solving. Typically, interns are matched with a specific team and manager in mid-spring. Doing so offers the ability to assign program participants to real-time, business critical needs. You could be on teams such as…
- Commercial Credit Risk (Detroit, MI) – Responsible for building and maintaining data, reporting and analytical routines for Ally’s ~$23B Commercial Automotive loan portfolio. These routines are used to monitor portfolio performance, to support credit risk management strategies, to perform credit loss forecasting activities (used for corporate financial planning, reserving and stress testing), and to support day-to-day operations of the portfolio management, dealer credit administration, underwriting, and analytics teams.
- Loss Forecasting (Detroit, MI) – Responsible for credit loss forecasting, stress testing and reserve setting for Ally’s ~$85B consumer automotive loan portfolio. The team covers a broad spectrum of responsibilities and has opportunities in model development, data science, advanced data analytics, business analytics, data management and executive reporting.
The Skills You Bring
Required qualifications.
- Rising Junior or Senior (during the time of internship) in a full-time undergraduate program.
- Available for the full duration of the internship program.
- Eligible to work in the US for any employer without sponsorship from the company now or in the future.
Preferred qualifications.
- Preferred majors include: Informational sciences, data science, business analytics, and statistics.
- Prior experience with SQL, Power BI and Python is a plus.
- Data-centric, collaboration, and curiosity.
- Ability to collect, manage and analyze data to solve problems and drive strategies across the Auto organization.
- Extracurricular activities/leadership experience is preferred (student organizations, volunteering, sports, part-time roles, etc.)