Internship - Anonymous employee Discover Employee Review

4.0
Apr 26, 2012
Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

Casual environment with typical IT staff. Some business casual dressing, mostly for finance. Great cafeteria, lots of paid time off, decent starting wage for the area. Some positions able to "work from home" after employment. Internship program brings great potential to the teams.

Cons

Chicagoland starting wage a little lower than normal. If working up a corporate ladder is your game, this is not the place for you. Bureaucratic politics kept to a minimum. Not a highly structure environment, which some may prefer.

Explore other reviews about Discover

5.0
Jun 8, 2026
Recommend
CEO approval
Business Outlook

Pros

It was a great work-life balance company.

Cons

After the acquisition, everything changed; the company became toxic by Capital One

5.0
Mar 28, 2026
Recommend
CEO approval
Business Outlook

Pros

One of the most significant advantages of interning at Discover is the opportunity to work with massive, high-stakes financial datasets within a highly collaborative and mentorship-driven culture. Because the company manages millions of consumer accounts, you gain direct experience in how data-driven decisions impact risk management, credit modeling, and fraud detection in real time. The environment is known for being supportive of early-career professionals, offering structured learning paths and exposure to modern cloud-native infrastructures like AWS. Furthermore, the company’s strong focus on work-life balance and a clear pipeline for converting interns to full-time roles makes it an excellent "foot in the door" for anyone looking to build a career in fintech.

Cons

On the other hand, the primary drawback often stems from the inherent bureaucracy and heavy regulation of the banking industry, which can lead to slower project lifecycles and "red tape." You may find that a significant portion of your time is spent on repetitive data cleaning and maintaining legacy reporting systems rather than building the cutting-edge predictive models you might expect. Additionally, because Discover is a massive organization, your scope of work can sometimes feel siloed, making it difficult to see the end-to-end impact of your analysis across different departments. Finally, the current landscape of the industry means that internal shifts or large-scale corporate restructuring can occasionally lead to uncertainty regarding team directions or long-term project stability.

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