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Product Owner (Financial Crime) - US at Revolut
San Francisco, CA, US
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 s**t 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.
We are looking for a Product Owner to bootstrap and lead a brand new effort around building a scalable machine learning platform: feature store that can be utilized by our financial crime machine learning teams.
You will lead a team within the larger Financial Crime org where we are solving some of the hardest anti-fraud and anti-money laundering problems in the world. Our Financial Crime teams have built multiple machine learning models to detect payment fraud. Now we are looking to up-the-ante on fraudsters by building a feature store that: (i) makes API calls to 15+ data providers in real-time (ii) de-dupes and normalizes the data and (iii) makes it available in real-time to our fraud models.
One of the most unique things about Revolut is how our teams are organized. Product Owners at Revolut have full mandate over their team and the roadmap. In this respect, you will be Operations Manager, Engineering Manager & Product Manager rolled into one. If you like leading a cross-functional team, then this is an ideal role for you!
As a Product Owner, you hold sole responsibility over the roadmap of your team, daily operations, project execution, and how risks are addressed. You will have regular exposure to senior management, and be relied upon as the go-to person in your field. This role is all about responsibility, follow-through, and being a builder.
Revolut’s product teams are composed of a product owner, product associates, data scientists, and engineers. Financial Crime Technology has several dedicated product teams: Transaction Monitoring, Know Your Customer, Quality Control, Computer Vision, Automation, and Screening to name a few.
You will be highly exposed to the practicalities of customer-facing processes, the nitty-gritty of engineering, and the nuances of communicating complex ideas to senior management and banking partners alike.
We not only want to see you succeed in your role here at Revolut, but also in the future. To that end, we will train you for your next role, giving you the necessary exposure from public speaking, to high level business meetings, to building meaningful, impactful solutions.
This feature store will be an internal product that is used by our machine learning teams and your responsibilities will include: (i) recruiting and leading a full-stack team of data engineers, backend engineers, mobile developers and machine learning engineers (ii) leading contract negotiations with data partners (iii) building a real-time service that gathers external data and scores a user within 100s of milliseconds, so we can stop fraud in its tracks. The main KPIs you would be evaluated on are: (i) fraud loss saved and (ii) reduction in fraud false positives due to your product.
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.
Ability to derive insights from data using Python
Bachelor’s Degree (or above) in Computer Science/Maths/Physics/similarQuick 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 hours
One of the following backgrounds:
5+ years in a leadership role (operations or product) on a risk team; or 5+ years of experience as a tech lead or engineering manager on a backend team; or 3+ years of experience as a machine learning engineer
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
401K match
22 days of holiday (excluding bank holidays)
Free Revolut Metal subscription

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