Lead Product Analyst

We’re looking for a Lead Product Analyst to join the Financial Crime Platform team and partner with our Financial Crime and KYC Product teams to ensure we are making data-driven and innovative growth decisions while helping to combat financial crime. Financial Crime (Servicing) Platform is our internal risk infrastructure tool that unifies customer onboarding, identities and transaction monitoring controls, ensuring Wise is protected against financial crime and meets regulatory requirements and standards.

You will lead our analytics efforts in the Financial Crime Platform product team that balances the work between preventing financial crime and enabling a smooth customer experience. We work closely with our FinCrime teams in Fraud, AML, Sanctions, Verification… but we are a Platform team. Our work is to enable them, securely and fast. This is a great opportunity for a Product Analyst that thrives solving technical challenges, or an Analytics Engineer that wants to be closer to business problems and product outcomes. You’ll also be part of a wider team of 300+ Analysts that you’ll get to collaborate with on cross-team projects, have knowledge sharing sessions and bring ideas on how we can improve analytics across Wise.

This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here. WHAT YOU’LL BE DOING

• Collaborating with Product, Engineering and other Analysts to bring your insights into real change for our customers and help us work towards our mission
• You’ll expose the vast amounts of data available to our product teams in a meaningful and actionable way and support other teams in discovering insights in our data solutions
• Proactively contribute to, own, create, track key metrics and results for your product team, keeping them accountable and enthusiastic throughout the quarter
• Support senior and lead analysts by building pipelines, preparing reports, and visualisations
• Partner with data scientists and engineers to create new features for FinCrime prevention Machine Learning models and integrate with external vendors, and make our risk assessment models faster.
• Building the framework for managing risk and customer experience
• Drive the discovery phase by scoping new opportunities and suggesting initiatives to reduce financial crime on Wise through meaningful insights