Data Manager - Financial Crime
SKILLS
FULL DESCRIPTION
Lead the data analytics team in delivering solutions for Financial Crime, managing projects, defining strategies, and collaborating for innovative growth.
About the role
[Employer hidden — view at passion-project.co.uk] 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 [Employer hidden].
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 [Employer hidden]
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.