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 75+ 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 Scientist who'll effectively assess and manage risk by developing policies, methodologies, models, and systems for risk quantification, reporting, and monitoring.
Up to shape what's next in finance? Let's get in touch.
What You’ll Be Doing
- Developing and maintaining methodologies and policies for liquidity and market derivative modelling
- Delivering real impact to the product through rigorous data-driven solutions
- Building, enhancing, and maintaining the core risk engine, including margin models, leverage frameworks, and liquidation logic
- Developing and calibrating risk models across isolated/cross margin, partial/full liquidation, bankruptcy pricing, and future portfolio margining capabilities
- Collaborating with Engineering to deploy risk methodologies into product

📌 Data Scientist (España)
🏢 Revolut
📍 España