About the company
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed.
Responsibilities
- 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 and operational teams, keeping them accountable throughout the quarter.
- Work with data scientists in understanding and developing the means for detecting and mitigating financial crime.
- Building the framework for managing risk and customer experience at scale.
- Drive the discovery phase by scoping new opportunities and suggesting features, rules and models to combat emerging risks.
- The role requires collaboration with Product, Data Scientists, Engineering and Operations Team.
Requirements
- Strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area.
- Experience with SQL and Python.
- Strong communication skills and an ability to translate business problems into analytical solutions.
- 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 concepts.
Conditions
- Salary: £75,000 - £115,000
- Company Restricted Stock Units
- Numerous great benefits in our London office
- Hybrid working
- Paid annual holiday, sick days, parental leave and other leave opportunities
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave