Product Owner - FinCrime Data Science

We are looking for a Product Owner with a Data Scientist background to lead a team within our Financial Crime organisation. 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!

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.

• 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