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Wise is seeking a Product Analyst in London to enhance their financial crime product teams. This role emphasizes data-driven growth decisions, collaboration across teams, and requires strong quantitative skills. Ideal candidates will have robust experience with SQL and Python, and a passion for preventing financial crime.
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Wise
London, United Kingdom
Other
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Yes
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cb37799edd9f
47
22.06.2025
06.08.2025
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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 committed to making their lives easier and saving them money.
Job Description
We’re looking for a Product Analyst passionate about our mission to partner with our financial crime product teams. Your role will involve driving data-driven growth decisions and helping to combat financial crime.
As a Product Analyst, you'll lead analytics efforts within the Financial Crime product team, balancing fraud prevention with a smooth customer onboarding experience. You’ll collaborate with a team of over 100 Analysts, work on cross-team projects, develop technical skills, and propose improvements for analytics at Wise.
Most importantly, you'll work closely with product managers, designers, and engineers to translate insights into real change for our customers and support our mission.
Your mission:
Contribute to the Financial Crime team by making data accessible and actionable for Wise’s product teams, creating and tracking key metrics, supporting stakeholders with research and visualizations, collaborating with data scientists on fraud detection features, and helping develop risk management frameworks.
The role involves collaboration with Product, Data Science, and Operations teams.
Qualifications
We look for candidates with strong quantitative skills, experience with SQL and Python/R, excellent communication skills, and the ability to independently structure and prioritize business problems. Experience with data visualization tools and 3-4 years of professional data analysis is preferred. Additional skills such as experience in fincrime, machine learning, or A/B testing are a plus.
Additional Information
We offer Restricted Stock Units (RSUs) and other benefits. Wise is committed to diversity, equity, and inclusion, fostering a respectful and empowering environment for all employees. To learn more about working at Wise, visit our website and follow us on social media.