Real-time risk prevention for the world's fastest-growing businesses.

Founded 2015
51-200 employees
  • Analytics & Business Information
  • Headquarters address
    33 Bowling Green Lane, 2nd Floor, London, EC1R 0BJ


    Ravelin prevents fraud and protects margins for online businesses around the globe. We look at our clients' data more thoroughly than anyone else to provide more accurate fraud scores. Our system streamlines fraud detection by providing a control console that automates fraud prevention while alerting users to what's coming next. All of our fraud decisions are explained, which means users not only stop fraud but receive insights regarding the fraud that is targeting their business.

    We analyse customer behaviour and transactions using our powerful data science and machine learning technologies, along with link analysis and business rules to provide extremely accurate fraud detection scores.

    Founded in 2014, Ravelin analyses online behaviour in real time to reduce payment-related fraud. According to our clients - including Deliveroo, Karhoo, and Easy Taxi, its technology reduces fraud incidence by more than 50 per cent.

    Ravelin has raised £12.3 million to date from backers including Passion Capital and Blackfin Capital Partners.

    How We Interview & Hire

    Our interview process begins with an intro call to help you learn more about the role, learn more about your interests, and help decide if Ravelin is a mutual fit. If we move forward, we'll schedule an onsite, where we can always work around your schedule's flexibility, but we like to have you meet several team members, as well as one of our Founders. If it's an engineering role you will also be asked to take a code test at home in your own time. At the offer stage, you already know the comp & equity range and our benefits!

    Tech Blog



    Here's a 10 minute video of our CTO Lenny speaking at Google Cloud Conference this year:

    Tech stack

    Go, Python, Google Cloud, ZooKeeper, Cassandra, ElasticSearch, Postgres, BigTable, BigQuery, NSQ, Kinesis, InfluxDB, Graphana, DynamoDB, Javascript, AngularJS


    Compensation and retirement

    Pension plan