Company interview guide
American Express interview process and practice questions
American Express interviews usually combine behavioural questions on its Blue Box Values, such as 'We Back Our Customers' and 'We Do What's Right', with technical or case questions for the role, from software engineering to analytics, risk and marketing. Candidates commonly report a recruiter screen, interviews with the hiring manager, and a final round with the wider team.
As candidates commonly report it; it varies by team, level and year. Last reviewed 18 October 2026.
The interview process
- 1Online application, with an online assessment or coding test for some roles
- 2Recruiter screen
- 3Interviews with the hiring manager: your experience, behavioural questions and technical or case questions
- 4Final round with the wider team; for some student programmes, an assessment centre with case studies
What interviewers listen for
- We Do What's Right
- We Back Our Customers
- We Make It Great
- We Respect People
- We Embrace Diversity
- We Stand for Equity and Inclusion
- We Win As a Team
- We Support Communities
- Careful use of data and sound judgement on risk
- Clear communication with colleagues, customers and partners
Behavioral questions
Tell me about a time you went out of your way to fix a problem for a customer or user.
A good answer covers
- Who they were and what was going wrong for them
- What you did beyond the usual, and why
- The result for them, and anything you changed so it didn't recur
Tell me about a time you raised the quality bar on a piece of work.
A good answer covers
- What 'good enough' looked like and why you aimed higher
- What you improved and how you checked it
- The difference it made, ideally measured
Tell me about a time you chose the right course of action over the quickest one.
A good answer covers
- The shortcut and why it was tempting
- Why you didn't take it, and who you involved
- The outcome and what it taught you
Describe a time your team succeeded because of how you worked together, not only individual effort.
A good answer covers
- The goal and who was on the team
- How you shared work, helped each other and handled disagreement
- The result and your part in it
Role and technical questions
How would you decide whether to approve a credit limit increase for a cardholder? What data would you use?
A good answer covers
- Repayment history, current balances, income signals and how the card is used
- Weighing extra spending and customer loyalty against the risk of default
- How you'd test the rule fairly and monitor it once live
A new card's sign-ups are strong, but spending per card is lower than expected. How would you investigate?
A good answer covers
- Checking whether new cardholders are activating the card and using it at all
- Splitting by customer group, channel and merchant type
- Likely causes and what you'd test: offers, reminders, or a change in who's being targeted
Explain how a card payment works from the moment a customer pays to when the merchant gets the money.
A good answer covers
- The parties: cardholder, merchant, card network and card issuer
- Authorisation at the time of payment, then clearing and settlement
- Where fees are charged and where fraud checks happen
How would you design a service that flags possibly fraudulent card transactions within a second?
A good answer covers
- A fast scoring step using rules and a model, with features such as location and spending pattern
- What happens next: approve, decline or ask the customer to confirm
- Keeping it fast and available, learning from confirmed fraud, and protecting customer data
Explain precision and recall to a business partner, and which matters more in fraud detection.
A good answer covers
- Precision: of the cases flagged, how many were really fraud; recall: of all fraud, how much was caught
- The trade-off: catching more fraud versus annoying good customers
- How you'd choose the balance using the cost of each kind of mistake
Walk me through a project where you used data to change a decision.
A good answer covers
- The decision and who was making it
- The data and methods you used
- What changed because of your work
Why American Express? Fit and HR questions
Tell me about yourself and why you're interested in this role.
A good answer covers
- Your background in a few lines, focused on what's relevant
- One achievement that shows the skills the role needs
- Why this team at American Express is the next step
Why American Express, and why this team?
A good answer covers
- Something specific about how American Express serves its customers
- What the team does and why it fits your skills
- What you'd want to learn in your first year
Which Blue Box Value means the most to you, and when have you shown it?
A good answer covers
- One value, named once
- A short, specific example
- Why it matters in the role you've applied for
Tips
- Prepare a story for each Blue Box Value, especially backing customers and doing what's right.
- For analytics and risk roles, be ready to talk through how you'd measure a customer decision and what could go wrong with it.
- For engineering roles, expect coding plus a design discussion; bring up security, reliability and protection of customer data.
- Learn how card payments work end to end, and what makes a card valuable to both cardholders and merchants.
- Ask the recruiter what each interview will focus on, so you can prepare the right mix of stories and technical work.
Practise it out loud
A mock interview asks the way American Express's interviewers are known to, follows up on your answers and gives you a report. The warm-up is free, needs no account and checks five of these questions as you answer.
About this guide
Written by Orbit from American Express's own public pages and what candidates commonly report. Orbit isn't affiliated with American Express. The questions are practice questions in the style of its interviews, not questions taken from them. Processes change, so check the job post and what your recruiter tells you.