Good pay, bad staff - werkgeversreview Fraud Specialist bij Discover

2,0
24 jan 2022
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

Good pay, decent benefits, amazing hours

Minpunten

You can't just get a supervisor to help you, the customer has to specifically ask for a supervisor and even then, you're having these customers on hold for a while because you have to wait for your supervisor to be ready and the majority of the time, they will deny helping you. You cannot just call anyone to help, you are in a chat room of people and waiting for help, therefore, the customer is impatient and waiting long periods of time. The staff are rude and the higher ups are even more rude.

Ontdek andere reviews over Discover

5,0
8 jun 2026
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

It was a great work-life balance company.

Minpunten

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

5,0
28 mrt 2026
Aanbevelen
Goedkeuring directeur
Zakelijk vooruitzicht

Pluspunten

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.

Minpunten

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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