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Data Scientist · FinCrime at Revolut
London, GB
Data sits at the heart of Revolut and plays a uniquely crucial role in what we do. With data we build intelligent real-time systems to personalise our product, tackle financial crime, automate reporting, track team performances and enhance customer experiences.
Fundamentally, data underpins all operations at Revolut and being part of the team gives you the chance to have a major impact across the company – apply today to join our world class data department.
Our Data Scientists are responsible for developing and operationalizing online and offline algorithms which integrate with Revolut’s server layer. They are skilled in software engineering, machine learning, network science and applied mathematics. They also possess a passion for building solutions and have a strong aptitude for data technologies.
You will work with the Financial Crime - Transaction monitoring team. We are a full stack team of data engineers, ML engineers, data scientists, backend engineers and financial crime specialists who are solving some of the hardest anti-fraud and anti-money laundering problems in the world. Our team builds artificial intelligence (AI) driven systems that continuously learn anomalous patterns typical of fraud. In this regard, we need a Data Scientist to join our team and build new models to detect cloning of Revolut cards, stolen cards or bank accounts being linked to a Revolut account. If you love pitting your wits against an intelligent adversary by utilizing AI, then this is your gig!
You will be responsible for building new machine learning models to solve anti-fraud or anti-money laundering. Our Data Scientists are end-to-end practitioners which implies they are responsible for coming up with an idea, prototyping the model using Jupyter notebook, implementing it in our data pipeline and measuring its impact in production. 
You will work alongside a team of 10+ machine learning engineers and data scientists in Financial Crime and come up with innovative new signals and embeddings. 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 (fraud rate) 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 team relies heavily on DataFlow, Big Query, Apache Beam, Apache Flink & Airflow for their machine learning pipelines.
• Proficient with Python and able to push code into production
• 2+ year(s) experience in applied machine learning/network science solutions via internships or full-time roles
• Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)
• Quick learner with an ambitious and results driven personality
• Working well as part of a team in a fast-paced environment
• Excellent communication and organizational skills
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.
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

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