Senior Product Analyst, Wise

• You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area
• You have experience with SQL and Python/R
• You have strong communication skills and an ability to translate business 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 models
• Hustler-mentality. You can take work beyond the analysis and get things done
• You have experience with data visualisation tools (Looker, Superset, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
• You have 3-4 YOE analysing data in a professional setting

Desirable

• We’re looking for a Product Analyst who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime
• As a Product Analyst, you'll be driving our analytics efforts in the Financial Crime 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, designers and engineers to bring your insights into real change for our customers and help drive our mission!
• 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 assistance
• Proactively contribute to, own, create, track key metrics and results for your product team, keeping them accountable throughout the quarter
• Support stakeholders by conducting research, preparing reports, and visualisations
• Work with data scientists in coming up with new features to identify fraud patterns for our Machine Learning models
• Building the framework for managing risk and customer experience at scale
• Drive the discovery phase by scoping new opportunities and suggesting initiatives to reduce financial crime on Wise through meaningful insights
• The role requires collaboration with Product, Data Scientists and Operations Team