Our portfolio companies are always looking for great people. Apply to the opportunities below or send us your profile.

Data Engineer - FinCrime at Revolut
London, GB
From clunky apps to hidden fees, banking is broken. So we decided to build a company from the ground that would challenge the bigger players and reinvent how people interact with their money — for the better.
Traditional banks are slow and expensive. Realistically, you’re nothing but a number to them with dollar signs attached. So, one continent at a time, we plan on changing this.
To put it bluntly — it’s about getting shit done and owning what you do. We don’t hide behind fancy job titles or set up bureaucratic processes. Instead we treat our people equally, fairly and give them a ton of freedom and autonomy to create something awesome.
We make mistakes, we learn from them and we back everything up with data and logic.
In three years, we’ve grown to over 700 people and we’re adding around 30 new additions each month. From engineers to marketers, we’re on the hunt for exceptional talent to help us scale our business and get Revolut in the hands of millions of people everywhere.
You will work with the Financial Crime - Transaction monitoring team. We are a full stack team of data 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 regards, we need a senior data engineer to scale our various microservices and machine learning systems. If you love thinking analytically about big data computations at microsecond latencies, then this is your gig!
You will be responsible for writing scalable backend systems that use a machine learning model to score users in near real-time.
You will research and productionize stream processing algorithms that can efficiently compute various statistics (mean, standard deviation, percentiles) on a data stream.
You will work on a small team of other data engineers to standardize features across our many different models into a unified feature store.
At Revolut, our data and backend engineers are also responsible for “dev ops” of the systems they write and hence, you will be responsible for building and maintaining our Kubernetes based deployment pipeline along with pagerduty and alerting instrumentation.
Our data stack is based predominantly on Python on 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, Composer and Apache Beam, for their machine learning pipelines.
Fluency with Python3 years (or more) experience in back-end development or data engineering
Bachelor’s Degree (or above) in Computer Science/Maths/Physics/similar
Previous background in working with machine learning or data engineering teams is a plus (not required)
Quick learner with an ambitious and results driven personality
Working well as part of a team in a fast-paced environment
Excellent communication and organisational skills
You’ll get to work in one of the hottest and fastest growing tech startups in the world right now
We’ll arm you with all of the latest tech equipment
Competitive salary & equity
Private pension plan
Free Revolut Metal subscription
Free dinners
Fresh juice & soda all day long

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