At a Glance
- Tasks: Drive data-driven decisions to combat financial crime and enhance user experience.
- Company: Join Wise, a global tech leader revolutionising money management.
- Benefits: Enjoy competitive pay, stock options, generous leave, and a 6-week sabbatical after 4 years.
- Other info: Be part of an inclusive team that values respect and career growth.
- Why this job: Make a real impact on financial systems while developing your analytical skills.
- Qualifications: 3+ years in data analysis, with skills in SQL, Python/R, and data visualisation tools.
The predicted salary is between 60000 - 75000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. As part of our team, you will be helping us create an entirely new network for the world's money. We’re looking for a Senior 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. At Wise, we strike a critical balance between user experience and the stringent demands of risk prevention.
The Screening team is building a robust control framework that screens customers, counterparties, and transactions across all Wise products. Our systems prevent the onboarding of sanctioned individuals and entities, identify politically exposed persons, and detect adverse media risk - while keeping the customer experience as invisible and frictionless as possible. We ensure that associated risks are thoroughly mitigated and that controls are functioning effectively.
As a Senior Product Analyst, you'll be driving analytics efforts that balance the work between mitigating risk and enabling a smooth customer experience. You’ll collaborate closely with your product managers, engineers, and operational teams to bring your insights into real change for our customers and help drive our mission! You’ll get to collaborate on cross-team projects, develop technical skills, and bring ideas about how we can improve analytics across Wise.
- Expose the vast amount of data available to the organisation in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance.
- Support your team by conducting research, building and maintaining data pipelines, preparing reports, and creating visualisations.
- Drive discovery analyses by scoping new opportunities and suggesting initiatives to improve our existing controls framework and customer experience.
Ideally, a background in statistics, mathematics, physics, engineering, analytics, computing, or any other scientific areas.
You have experience with SQL, python/R, dbt (ideally), and building data pipelines. 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.
You can take work beyond the analysis and get things done. You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate confident storytelling ability with data. You have a minimum of 3 years of experience analysing data in a professional setting.
We offer numerous great benefits in our London office, including paid annual holiday, sick days, parental leave, and other leave opportunities. Additionally, there is a 6-week paid sabbatical after 4 years at Wise on top of annual leave.
We're people building money without borders — without judgement or prejudice, too. 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.
