Data Manager - Financial Crime

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future.

Location: London (Hybrid: 4 days office / 1 day WFH)

About the role

Ebury is moving fast into new territories: embedded payments, cards, and stablecoins. As our product landscape grows, so does the complexity of our Anti-Money Laundering (AML) controls. We’re looking for a Data Manager to join our Data team and partner with our Financial Crime Intelligence Product and Engineering teams to ensure we are making data-driven and innovative growth decisions while combating financial crime.

You’ll sit at the intersection of First Line, Compliance, Product and Engineering. This is a hands-on leadership role: you’ll lead our data analytics efforts in the Financial Crime Intelligence Product domain, but you’ll also be deep in the weeds of our data platform.

This is a great opportunity for a Senior Data Analyst or Engineer who wants to be closer to business problems and product outcomes. You will be part of a wider team of 70+ data developers, collaborating across our Data Platform, where you will have the opportunity to collaborate in cross domain projects and elevate data analytics across Ebury.

What you will do

• Lead a data analytics team to deliver advanced analytics solutions in Financial Crime, covering areas of Transaction Monitoring, Screening, Know Your Customer and Fraud.

• Steer data projects from inception to delivery, ensuring alignment with goals and project requirements.

• Define the data strategy for your area, ensuring alignment with the overall Data strategy and the Product goals.

• Proactively contribute to define and implement key metrics and results for your product team

• Manage development and implementation of ML/AI models

• Collaborate closely with Data Managers from other domains to share learnings and align in data projects.

• Drive the discovery phase by extracting key insights, scoping new opportunities and suggesting initiatives to combat financial crime at Ebury

What We’re Looking For

• 5+ years of relevant hands-on experience in risk analysis, fraud detection, AML and data analytics.

• Experience in building and a team of analysts.

• Experience with our data stack is a plus. We use dbt, Google Cloud Platform, Sigma, LookerStudio, Airflow.

• Strong problem solving and analytics skills with excellent attention to detail.

• Excellent communication and stakeholder management skills.

• Interest and exposure to GenAI and Agentic AI is highly valuable.

About us

Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.

Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team.

At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.

The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.

We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.