Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. We’re looking for a Product Analytics Lead 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 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. 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 150+ 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 AL2 role. 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 Scams on Wise through meaningful insights. WHAT YOU’LL BRING: 5+ years of experience in data analytics. 2+ years of experience building, coaching and leading analysts. Extensive experience with SQL, dbt (ideally) and Python. Strong quantitative skills with a background in statistics, maths, physics, engineering, computing, or other scientific area. Strong communication skills and ability to translate business and engineering problems into analytical solutions while being sensitive to the customer’s needs. Ability to structure business problems with minimal supervision and prioritize collaboratively with PMs and Engineers. Proactive attitude with curiosity to discover novel insights from unstructured datasets. Experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and storytelling ability with data. NICE TO HAVE: Analytics/Data Engineering experience. Experience with unstructured datasets. Experience with user-facing products and data. Experience in fincrime domain balancing risk and supporting customer experience. Wise values diversity, equity and inclusion, offering an international team environment. For more information about working at Wise, visit Wise.Jobs and follow on LinkedIn and Instagram.