It was a hr round, then different tests. One was about sql live programming, and onather one about reasoning on some business problems and another one was an evaluation programming skill tests. The precess was long an quite intense
I applied online. The process took 2 weeks. I interviewed at Revolut (Madrid) in Jan 2024
Interview
prueba tecnica de una hora. 2 de sql y 10 de estadistica y luego habia varias de multiopcion junto a seleccion A/B. Las de sql era de codificar querys tu
I applied online. I interviewed at Revolut in Oct 2024
Interview
Primero tuve un test técnico automatizado. Después el proceso continuó con una entrevista con Recursos Humanos que me pareció que la persona que me lo hizo no se había leido la descripción del puesto. Para terminar, tuve otra entrevista con el que iba a ser mi responsable y aquí me descartaron.
Interview questions [12]
Question 1
Given the tables countries, users and transactions, write a query to obtain the number of users without any transaction.
Write a Python or R function that:
- Accepts a string list/array as an argument
- Convert strings values to lowercase letters
- Replaces spaces in string values with underscores: “_”
- Replaces all empty string values with “missing”
- Sorts the string values alphabetically
If the price of processing transaction increases by 30% and Revolut only intends to spend 17% or more on transactions, by how much percentage Revolut reduce the quantity of transactions that are paid for?
Three companies selling the same product have changed the retail prices of the product in order to increase profits. If all companies were initially selling the product at the same price, which company experienced the greatest percentage of increase in revenue?
A company signs up on average 1000 users per day. The daily signs-ups are normally distributed with standard deviation of 100. What is the probability of signing up more than 1100 users on a given day?
Out of ten of thousands transactions that a company receives each month, an average of 100 of these transactions turn out to be frauds. Which of the following distributions do you think can best estimate the probability of a fraudulent transaction being received in the next hours?
Given a 2-bars barplot with bars named as “Group A” and “Group B” with the 95% confidence interval, what can you deduce about the difference in average spend between the two groups?