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 65+ million customers get more from their money every day.

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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 10,000+ 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.

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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.

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We’re looking for a Data Analyst to join our Treasury department. You’ll play a critical role in shaping our financial strategy by diving deep into our data, identifying root causes, and designing your own scalable solutions.

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

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What you’ll be doing

• Developing and owning quantitative models for ALM, capital, and liquidity management
• Enabling domain owners to make strategic, data-informed decisions that directly impact the company's direction
• Setting up and maintaining treasury and regulatory monitoring and reporting frameworks
• Designing and developing key business metrics and dashboards to visualise performance and risk
• Building and maintaining robust ETL pipelines using SQL and Python
• Performing in-depth, ad-hoc analyses and creating reports that support long-term planning and regulatory compliance
• Supporting company-wide data initiatives that impact the department, such as data warehouse migrations and the development of standardised executive dashboards
• Promoting data literacy by contributing to best practices, documentation, and knowledge sharing across teams

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What you'll need

• 3+ years experience in treasury analytics
• Great skills with SQL and Python
• Evidence of solid mathematical and statistics knowledge
• Experience working within a bank's treasury function, with specific exposure to liquidity management and asset and liability management

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Nice to have

• An advanced degree in a core STEM subject

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