ABOUT THE TEAM
The Financial Crime Technology department is at the forefront of Revolut’s efforts to keep customers and their money safe. Through the intelligent development and deployment of technology, we aim to prevent financial crime more effectively than traditional banks.
We operate in small, nimble teams that are built for scale, speed, and quality. Each unit is responsible for a different pillar of fincrime, giving you the chance to have a real impact on crucial problems that affect millions of people around the world.
WHAT WE NEED
We are looking for a Data Scientist to lead a team within our Financial Crime organisation as a Product Owner. You would lead a team that’s focused on preventing fraud or money laundering on our platform using machine learning and data science. Your team would be cross-functional and consist of machine learning engineers, data engineers, backend engineers and FinCrime specialists. You can learn more about our Financial Crime organisation via this short video
One of the most unique things about Revolut is how our teams are organised. Depending on the team, Product Owners at Revolut wear multiple hats as Data Science lead, tech lead, engineering manager and product managers. Product Owners do what it takes to achieve the goals for their team. You can learn more about what it means to be a Product Owner at Revolut via this short video
If you love autonomy and enjoy pitting your wits against an intelligent adversary by utilising AI, then this is your gig!
WHAT YOU’LL BE DOING
You will be responsible for setting your team’s roadmap and KPIs and executing against it. You will lead the team towards building new machine learning models that prevent fraud or money laundering.
At Revolut, we are firm believers in measuring and rewarding for success and your KPIs will be dictated by how much impact your models are having to our bottom line while not compromising our good users’ experience.
Our data stack is Python in the backend with Exasol as our data warehouse. We are hosted on Google Cloud Platform and our data scientists and engineers rely heavily on DataFlow, Big Query, Apache Beam, Apache Flink & Airflow for their machine learning pipelines.
WHAT SKILLS YOU’LL NEED
• Fluency with Python
• 4 years (or more) experience in applied Machine Learning via full-time roles
• Bachelor’s Degree (or above) in Computer Science/Maths/Physics/similar
• Quick learner with an ambitious and results driven personality
• Work well as part of a team in a fast-paced environment
• Excellent communication and organisational skills
• Flexible working hoursEnglish
A LITTLE ABOUT US
We believe that there are better ways for people to control their money. Easier, fairer ways.
Revolut started in 2015 with fee-free card transactions abroad. We’ve since added current accounts, business accounts, savings, insurance, and even cryptocurrency trading.
We reached 4 million customers in February 2019 and we’re adding another million every quarter.
And we’re only just getting started.
Come and help Revolut build the world’s first truly global bank.
WHAT WE ARE LOOKING FOR
From employee 1 to employee 1000, you will be slotting into a global team that shares a number of traits.
You can work autonomously and take ownership. We thrive with the space and responsibility to solve problems.
You operate best without lots of bureaucracy. We don’t hide behind fancy job titles or clunky processes ‘because that’s how things are done’.
You approach work in a logical way. We are not afraid to make mistakes but we use data and logic to backup decisions and improve understanding.
And you share our mission to improve people’s relationship with their money.
• Competitive salary
• Biannual equity bonuses
• All the latest tech you need
• Skip the commute and work from home once a week
• Roll with a free Revolut Metal subscription
• Pension plan
• Private health insurance
• Don’t panic about cooking: get free dinners with Deliveroo
• Start the day properly with fresh fruit and cereals
• Stay refreshed: get juice, tea, coffee and soft drinks on tap
• Rest up with 29 days’ holiday per year