About Revolut 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 10,000 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 - with class, logical thinking, and lots of style
We're looking for a next-level Data Scientist for our Market Making department who'll help us develop and refine a fully automated, advanced trading system utilising machine learning, natural language processing, and predictive modelling.
You'll optimise algorithms for interpreting market data and executing trades, collaboratively innovating with our Quantitative Trading and Engineering teams to develop, test, and implement complex trading strategies.
If this challenge excites rather than scares you, you may just be the person we're looking for
What you'll be doing
- Building models for our smart trading system
- Utilising quantitative techniques, including machine learning, across diverse datasets to get market insights
- Developing and testing intricate investment concepts, collaborating with traders and engineers to validate hypotheses
- Delivering measurable impact on our financial results through rigorous data-driven solutions
What you'll need
- A degree in mathematics, machine learning, computer science, statistics, or engineering
- Experience in algorithmic trading and finance
- Experience building machine learning models
- Excellent knowledge of data science tools, including Python and production tools
- Knowledge in mathematics and statistics
Nice to have
- Experience with reinforcement learning
- Experience with NLP and LLMs
- A PhD with relevant research experience
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.