Revolut Interview Questions (12)

Revolut is known for building fast-moving fintech products that operate at massive scale. Engineers at Revolut work on systems that handle payments, fraud detection, real-time analytics, and global financial infrastructure. Because of this, the Revolut coding interview emphasizes strong data structures and algorithms fundamentals combined with practical problem-solving skills.

The interview process typically starts with an online coding assessment or phone screen, followed by one or two technical interviews focused on algorithms and problem solving. For experienced candidates, there may also be a system design round and a behavioral interview focused on ownership, speed, and product thinking. Revolut engineers are expected to write clean, production-quality code while explaining trade-offs clearly.

From real candidate reports, Revolut interview questions frequently focus on core DSA patterns such as:

• Arrays and hash maps for transaction-style data processing
• Two pointers and sliding window techniques
• Graph traversal and BFS/DFS problems
• Stack and string manipulation
• Medium-level dynamic programming

Most candidates report a difficulty distribution that looks like this:

• Easy: 20% (fundamental coding warm-ups)
• Medium: 60% (core interview questions)
• Hard: 20% (optimization or edge-case heavy problems)

To help you prepare efficiently, FleetCode has compiled 12 real Revolut interview questions that reflect the most common patterns asked in their coding interviews. Each problem includes explanations and solutions in multiple languages so you can practice the exact skills Revolut interviewers look for.

If you master these patterns and practice writing clean, well-explained solutions, you will be well prepared for the Revolut engineering interview process.

Preparing for the Revolut coding interview requires strong algorithm fundamentals combined with clear communication and practical engineering thinking. Revolut values engineers who can move fast while maintaining high code quality.

Typical Revolut interview process:

• Online coding assessment (60–90 minutes): Usually 2–3 algorithm problems on arrays, strings, or hash maps.
• Technical coding interview: Live coding with an interviewer. Expect medium-difficulty DSA problems and discussion of edge cases.
• Second technical round: More complex algorithm problems or debugging tasks. Senior candidates may also get system design questions.
• Behavioral / culture interview: Focus on ownership, product thinking, and working in fast-paced teams.

Most common DSA topics asked by Revolut:

• Arrays and hash maps for fast lookups
• Sliding window and two-pointer techniques
• Stack-based problems (especially parentheses and parsing tasks)
• BFS/DFS traversal in graphs or grids
• String processing and edge-case handling

Revolut interviewers often look for candidates who can optimize brute-force solutions. A common pattern is being asked to first implement a simple solution, then improve it using better data structures or time complexity analysis.

Common mistakes candidates make:

• Jumping straight into coding without clarifying requirements
• Ignoring edge cases such as empty inputs or duplicates
• Writing code that works but lacks clear explanation
• Not discussing time and space complexity

A good strategy is to practice 30–50 medium-level LeetCode-style problems focused on arrays, graphs, and string manipulation. During practice, simulate interview conditions by explaining your thought process out loud while coding.

Recommended preparation timeline:

• Week 1–2: Core data structures (arrays, maps, stacks, queues)
• Week 3–4: Sliding window, graphs, and recursion
• Week 5+: Mock interviews and timed practice

Consistent practice with company-style questions is the fastest way to build confidence for the Revolut interview.