Data

We want to be transparent about how we hire for Machine Learning roles at Monzo, so you know what's coming and why we've designed things the way we have.

This guide is here to help you understand what to expect and how to approach the Analytics Engineering (AE) interview process at Monzo—so you can feel prepared, confident, and able to show your best work

This guide is designed to give you a high-level overview of what to expect when interviewing for leadership roles across data disciplines at Monzo

This blog talks through a transition from a traditional SAS-based banking background to Monzo, detailing how new skills were developed, and the type of projects worked on during the first 12 months in the Credit Strategy team.

Dive deep into the process we use when we hire Data Scientists at Monzo

At Monzo, over 100 independent, empowered teams contribute to our data warehouse of 12,000+ dbt models. The health of data is owned across all these teams. How do we make sure the outputs are still performant, consistent, and high quality?

Monzo has a huge variety of data roles in our Borrowing team that contribute to developing our credit products. In this blog we tell you what Borrowing at Monzo is, how it fits into Monzo, what the types of roles we hire for, and how to apply.

This post is an overview of how we leverage incremental modelling, a data transformation technique which helps us scale sustainably as we blast off to 10 million customers 🚀

Several months back, we got our heads together and started dreaming up Year in Monzo 2023. Here's the data team's story about how we get to where we are today.

This blog talks through how Monzo uses Data Science and Analytics Engineering to measure the value of paid marketing as Apple’s SKAdNetwork changes the mobile advertising landscape, which helps to inform our wider strategies of sustainable growth

This blog talks about why app screens are like pedestrian crossings, or more specifically, how some subtle tweaks to a user-interface in Monzo's sign-up process has had a surprisingly large impact!

This blog post covers the approach for how we designed a regional experiment to measure the incremental impact of our referral scheme on new customer growth.

This blog post walks you through how we used a method called topic modelling to categorise Pot names into different themes so we can understand which Pots are used for holidays, life events, or just general savings.

An end-of-year review of how machine learning continues to evolve and grow at Monzo

Izak joined Monzo as a data scientist in February. In this post, he shares his journey to Monzo and his early experience in the data discipline, with our data stack, and in the team looking after our Customer Operations.