Product Analyst - Fraud Handling
Product Analyst - Fraud Handling
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Job Description
Were 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 datadriven 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. Youll also be a part of a wider team of over 100 Analysts! Youll get to collaborate on crossteam projects develop technical skills and bring ideas about how we can improve analytics across Wise.
Most importantly youll 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.
Heres how youll be contributing to the Financial Crime team:
- Youll 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 :
- 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 simpletounderstand models
- Hustlermentality. 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 34 YOE analysing data in a professional setting
- Some extra skills that are great (but not essential):
- Experience with userfacing products and data
- Experience in fincrime domain balancing risk and customer experience
- Machine learning experience
- Knowledge of A/B testing
Additional Information :
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 visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
