People deserve more from their money. More visibility, more control, more freedom. And since 2015, Revolut has been on a mission to deliver just that. With an arsenal of awesome products that span spending, saving, travel, transfers, investing, exchanging and more, we've helped 40+ million customers get more from their money. And we're not done yet.
As we continue our lightning-fast growth, two things are essential to continuing our success: our people and our culture. We've been officially certified as a Great Place to Work™ in recognition of our outstanding employee experience! So far, we have 8,000+ people working around the world, from our great offices or remotely, on our mission. And we're looking for more. We want brilliant people that love building great products, love redefining success, and love turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
We approach Data Science at Revolut the same way that we approach everything else. We take complex problems and create extraordinary solutions that our customers love. Our Data Analysts aren’t kept in the background, doomed to never see the impact of their work. They’re some of our best and brightest problem solvers, deployed to the front-lines to work in Product teams and deliver WOW solutions ⭐️
We’re looking for an experienced Data Analyst (Front Office Developer) to join our Short Term Liquidity team, which is part of our Treasury & Investments area. You'll directly support, improve, and automate critical processes used to manage investment decisions, the firm’s liquidity and risk. You will also enhance the sophistication of PnL and risk optimisation analytics.
Up for the challenge? Let's get in touch 🚀
What you’ll be doing
- Creating and owning ETL processes
- Creating and maintaining new aggregated views and tables to simplify data querying
- Automating analytics including: PnL attribution, daily risk reporting, investment performance (short term investments)
- Undertaking behavioral liquidity and cash flow analysis
- Analysing ad-hoc performance enhancements
- Undertaking model based performance optimisation
What you'll need
- Previous experience in an analytical role supporting a markets-based business
- Experience at a major financial institution, asset manager, or liquidity provider, or within a Treasury or Risk department (FTP, ALM, Liquidity, IRRB, etc.)
- A bachelor's degree in a quantitative discipline
- Strong data manipulation and analysis capabilities in Python and SQL
- Evidence of strong mathematical and statistics knowledge
- Fluency in English
Nice to have
- An advanced degree in a core STEM subject
- School/University Olympic medal competitions in physics, maths, economics, or programming
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.
Refer to our Data Privacy Statement for Candidates for details on our data handling practices during your application.
