About Revolut

People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products - including spending, saving, investing, exchanging, travelling, and more - help our 70+ million customers get more from their money every day.

As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work™. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.

About the role

Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward.

We're looking for a Data Analyst who can dig into our complex databases, look for the root cause of a problem, and design their own solutions by writing code to implement them.

This is an opportunity to apply your skills while picking up new ones and delivering value for millions of customers around the world.

Up to shape what's next in finance Let's get in touch.

What you'll be doing

Understanding our business and its processes through data
Applying this understanding and knowledge of data to help product and services teams
Developing documentation and data governance
Owning the entire ETL process
Designing key metrics to measure different aspects of the business
Creating and maintaining new aggregated views and tables to simplify data querying
Providing clean data sets, modelling data in a way that empowers end users to answer their own questions

What you'll need

5+ years of experience in an analytical role, creating impactful data-driven solutions
A solid background/education in a quantitative discipline
Great skills with Python, SQL, or other programming languages
Evidence of exceptional mathematical and statistics knowledge

Nice to have

An advanced degree in a core STEM subject
Experience with additional programming languages (Java, Scala, C++, etc.)
School/university Olympic medal competitions in physics, maths, economics, or programming

Data Engineer

Data Analyst (Engineer)