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The Interview Process
SQL & Data Manipulation Test
Often a take-home or HackerRank test using a messy, simulated dataset of banking transactions. You must write optimized SQL to answer specific business questions.
Analytical Deep Dive
A technical interview discussing your assessment, A/B testing methodologies, and how you choose the right statistical model for a given problem.
Business Application Panel
Focusing heavily on 'Data Translation'—your ability to explain complex statistical concepts to non-technical stakeholders (like marketing or compliance teams) and drive actual product changes.
Real Monzo Interview Questions
Practice these exact questions faced by previous Data Scientist (Product / Operations) candidates.
1We are running an A/B test on a new 'Round-Up' savings feature. The p-value after 3 days is 0.04 (statistically significant), but the sample size is only 500 users. The Product Manager wants to ship it immediately. What do you advise? (Statistics / A/B Testing Bias)
2Write a SQL query to identify 'salary cycling'—where a user transfers money in from an external account just to hit a quota, and immediately transfers it back out. (Data Manipulation / SQL)
3If you noticed a sudden 5% drop in the number of users completing the KYC (Know Your Customer) onboarding flow, walk me through the exact steps you would take to find the root cause using our data dashboard. (Problem Solving / Curiosity)
4Explain the tradeoff between Precision and Recall to a Customer Support manager who simply wants the fraud algorithm to 'stop blocking legitimate users'. (Communication)
5Tell me about a time your data analysis led to a direct, measurable change in a product's roadmap. (Impact Orientation)
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