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Head of Computer Vision at Revolut
London, GB
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.
We are looking for an extraordinary Machine Learning Engineer with proven experience in building and leading world class teams of computer vision data scientists and engineers, developing computer vision and NLP systems for document classification. You will oversee the leadership and growth of this organisation
Our Computer Vision team sits within our FinCrime organisation and our Data Scientists and MLEs are responsible for applying scientific methodology, statistical inference and offline machine learning models to drive business decisions. They have strong backgrounds in statistics, applied mathematics, and computer science with the ability to write clean and operationalizable code. They are also creative, inquisitive and exceptional communicators with an aptitude for uncovering hidden patterns.
As the head of our Financial Crime - Computer Vision team, you will be managing and mentoring a global team and setting the strategy and direction for data scientists and MLEs across our offices in London, Berlin, San Francisco, Moscow and Dublin. You will also be hiring and growing your team to 30+ engineers over the next 18 months.
You will be leveraging your skillset to oversee the building of proprietary solutions for automated recognition and parsing of customer documents and images. You must be comfortable with implementing end-to-end solutions and collaborating with product owners, engineers and data scientists to improve data infrastructure and contribute to a seamless research platform.
• Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)
• Experience in optical character recognition/computer vision (NLP is a plus)
• Excellent leadership skills and experience in leading teams of 5+ engineers within a scaling organisation
• Proven experience in developing Python applications and excellent knowledge in SQL
• Deep understanding of fundamentals of probability and statistics
• Big picture thinking - correctly diagnosing problems and productionising research
• Databases: SQL {Exasol, PostgreSQL, BigQuery}, NoSQL {DataStore, CouchDB, Redis}
• Production: Docker, K8s, Multi-threading
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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