Job Description

Company DescriptionSenior Product Analyst - FinCrime PlatformWe're looking for a Senior Product Analyst for Servicing Platform who is passionate about our mission of Money Without Borders to partner with our financial crime and KYC product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime. Servicing Platform is our internal risk infrastructure tool that unifies customer onboarding and transaction monitoring controls, ensuring Wise it is safe against all sorts of financial crime and in-line with regulatory requirements and standards.As a Servicing Platform Analyst, you'll be driving our analytics efforts in the Financial Crime Platform product team that balances the work between fighting financial crime and enabling a smooth customer onboarding experience. You'll also be a part of a wider team of over 100 Analysts! You'll get to collaborate on cross-team projects, develop technical skills and bring ideas about how we can improve analytics across Wise.Most importantly, you'll collaborate closely with your product managers, engineers and other data analysts to bring your insights into real change for our customers and help drive our mission!Your mission:At Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money.Here's how you'll be contributing to the Servicing Platform team:You'll expose the vast data on our processes to the product teams across Wise in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistanceProactively contribute to, own, create, track key metrics and results for your product team, keeping them accountable throughout the quarterSupport senior and lead analysts by building pipelines, preparing reports, and visualisationsWork with data scientist in coming up with new features for fincrime preventing Machine Learning models and integrating with external vendorsBuilding the framework for managing risk and customer experienceDrive the discovery phase by scoping new opportunities and suggesting initiatives to reduce Scams on Wise through meaningful insightsThe role requires collaboration with Product, Engineering and other Analysts.This role will give you the opportunity to:Be part of a positive change in the world. We're fixing a broken, greedy system, and putting people and businesses in control of their moneyCreate value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!Influence the team's direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.QualificationsA bit about you:You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, computing, or other scientific areaYou have extensive experience with SQL, (ideally) dbt and good to have Python too. When we say vast amounts of data we are not joking. The biggest challenges you will face is on how to efficiently code your queries and ETLs. Our services generate more than 100 millions rows a day.You have strong communication skills and an ability to translate business and engineering problems into analytical solutions.You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand modelsBe proactive. You can take work beyond the analysis and get things done.You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with dataYou have 2-4 YOE analysing data in a professional settingSome extra skills that are great (but not essential):Experience with user-facing products and dataExperience in fincrime domain balancing risk and customer experienceMachine learning experienceAnalytics/Data Engineering experienceAdditional InformationKey benefits:25 days Paid Annual holiday + 3 Me Days15 Sick Days- Work abroad for up to 90 days of the year6 weeks of paid sabbatical after 4 years at Wise on top of annual leaveFor everyone, everywhere. We're people building money without borders - without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.If you want to find out more about what it's like to work at Wise visit .Keep up to date with life at Wise by following us on and .

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