IT & Software

Senior Product Analyst - FinCrime

Wise

London · Greater London · United Kingdom

Overview

As a Senior Product Analyst at Wise, you enable data-driven decisions for financial crime and risk teams while preserving a smooth customer experience. You partner with product managers, engineers and operations to turn analytics into actionable improvements across onboarding, screening and transaction monitoring. You will help drive growth decisions within a robust risk framework and contribute to a large analytics community. This role offers cross-team collaboration, visibility into Wise’s mission to make money accessible for everyone, everywhere.

Pay / Benefits
  • Hybrid working
  • Wiser mobility (remote work up to 90 days/year)
  • Paid annual leave and sick days
  • Parental leave and other leave opportunities
  • 6 weeks sabbatical after 4 years
  • Company Restricted Stock Units
Responsibilities
  • Make data accessible and actionable for non-analysts across the organization
  • Own and track key metrics, ensuring accountability quarter over quarter
  • Build and maintain data pipelines and create reports and visualizations
  • Conduct discovery analyses to identify opportunities to improve controls and user experience
  • Communicate insights to stakeholders to drive real changes for customers
  • Collaborate with product, engineering and ops teams on cross-functional projects
Key requirements
  • Strong quantitative skills with a background in a science or analytical field
  • Experience with SQL, Python/R, and ideally dbt, plus building data pipelines
  • Strong communication skills and ability to translate insights into simple narratives
  • Ability to structure business problems with minimal supervision and prioritize independently
  • Demonstrated ability to deliver results beyond analysis; execution mindset
  • Experience with data visualization tools (Looker, PowerBI, Tableau) and data storytelling
  • Minimum 3 years of professional data analytics experience
  • Strong communication
  • Analytical storytelling
  • Cross-functional collaboration
  • SQL
  • Python/R
  • dbt

Reference: WJ-747_30855055

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