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 codes to implement them.

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

What you'll be doing

• Building and maintaining trusted datasets for reporting and analytics, working across multiple source systems and owners
• Supporting database sharding and data residency programme
• Validating data accuracy between source systems and replicated datasets, and investigating discrepancies
• Owning the delivery around requirements, data mapping, transformation logic, scheduling, monitoring, and fixes
• Defining, implementing, and documenting business metrics with clear lineage so reporting is consistent and audit-ready
• Creating and maintaining new aggregated views and tables to simplify data querying
• Coordinating across Product Engineering, DevOps/SRE, and Data to unblock ETL delivery, manage dependencies, and ensure pipelines meet reliability and data quality expectations
• Maintaining documentation and governance, such as dataset specs, metric definitions, lineage, access classification, and change notes
• Partnering with stakeholders to turn questions into data products that are audit-ready and scalable

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
• Experience with financial services datasets (payments, ledger, reconciliations, fraud/risk, regulatory reporting).
• Demonstrated experience implementing data quality controls and reconciliation checks for replicated or high-stakes datasets
• Evidence of exceptional mathematical and statistics knowledge

Nice to have

• An advanced degree in a core STEM subject
• Knowledge of data governance practices (sensitivity classification, access controls, ownership models)
• Familiarity with orchestration and transformation tooling (Airflow or similar)
• Experience building dashboards in Looker

Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.

Important notice for candidates:

Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.

• Only apply through official Revolut channels. We don’t use any third-party services or platforms for our recruitment.

• Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.

We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it’s a scam. Report it immediately.

By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice