Company Description
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.
Job Description
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!
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 Financial Crime 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 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
Qualifications
A bit about you:
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
Some extra skills that are great (but not essential):
Experience with user-facing products and data
Experience in fincrime domain balancing risk and customer experience
Machine learning experience
Knowledge of A/B testing
Additional Information
Base salary: 60,000 -75,000 GBP gross annually (based on experience & interview outcomes)
Restricted Stock Units (RSUs) & numerous amount of other benefits:
For 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 .
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