Monzo data interview guide

How Monzo interviews data scientists, analysts, analytics engineers and ML scientists, including the take-home and final case studies.

Updated 3 October 20263 sources3 min read

Stages4Recruiter, initial call, take-home, finals

Recruiter call30 minYour main contact throughout

Take-homeNo time limitUsually presented as slides

Decision≤ 1 weekOften faster

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About Monzo

Monzo is a UK digital bank. In the year to March 2026 it grew to 15.2 million customers and 10.4 million monthly active users, with revenue up 39% to £1.7bn and adjusted profit before tax up 20% to £172.6m. About half of its active customers use Monzo as their main bank.^{2, 3}

The interview process

For data scientists, data analysts, analytics engineers and machine learning scientists, as Monzo's data recruiting team describes it.¹

Recruiter call30 min
A chat with the recruiter who'll be your main contact for the whole process.
Initial call
Behavioural questions, maybe some light technical ones, and a deep dive into a past project. Expect to explain what excites you about data and the impact of your work.
Take-home task
A role-specific exercise with no time limit and no textbook questions, usually delivered as a short slide deck. The brief is deliberately open, to see the decisions you make.
Final interviews
Two parts.
- Case studies. Real or realistic Monzo business problems, with context documents and time to prepare. Discussion-based, not live coding.
- Collaboration. Meeting cross-functional partners such as product managers and engineers, with situational questions about your achievements and challenges.
Decision≤ 1 week
All interviewers meet to discuss your strengths and development areas, and a Hiring Mentor reviews the whole interview packet for fairness.

What Monzo looks for

Impact. Data work that changed a decision or a product.
Collaboration. Working well in cross-functional squads.
How you think. The way you approach a problem and explain your reasoning matters as much as the answer.¹

Questions to expect

Based on what Monzo says each stage tests.

Initial call

Tell me about a data project you're proud of. What changed because of it?

What excites you about working in data at a bank?

Case study

Some new customers stop using their Monzo card in their first month. How would you find out why?

How would you measure whether a new savings feature is working?

Collaboration

Tell me about a time you changed a product manager's mind with data.

How to prepare

Make your decisions visible in the take-home. The brief is open on purpose, so say what you assumed and why.
Tell a story with your slides. Lead with the answer and what the business should do.
Think aloud on business problems. The final case studies are a discussion, not a coding test.
Know the business. 15.2 million customers, 10.4 million monthly active users and £1.7bn revenue.²

Quick answers

Is there a take-home task for Monzo data roles?

Yes. It's role-specific, with no time limit, and usually presented as a slide deck.

Is there live coding in Monzo's final data interviews?

No. The final case studies are discussion-based.

How quickly does Monzo decide?

Within a week of the final interviews, and often faster.¹

Sources

Data hiring at Monzo: the interview processMonzo blog · 21 Mar 2022
Monzo Annual Report 2026: Year in reviewMonzo · 19 May 2026
Monzo reports revenue and profits leapTech.eu · 19 May 2026

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