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Client:
Wise
Location:
London, United Kingdom
Job Category:
Other
EU work permit required:
Yes
Job Reference:
85a3ffad527d
Job Views:
7
Posted:
22.02.2025
Expiry Date:
08.04.2025
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, youll 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.
- Build 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 can structure business problems with minimal supervision and prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models.
- You have a 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 years of experience 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 other benefits:Benefits.
For everyone, everywhere. Were people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
Were 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 its like to work at Wise visitWise.Jobs.
Keep up to date with life at Wise by following us onLinkedInandInstagram.
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