Staff Product Analyst - FinCrime

Location: Global

Team: General

About the Role

Wise is a global technology company building the best way to move and manage the world’s money with min fees, max ease, and full speed. We are seeking an experienced and strategic Staff Product Analyst to join our Financial Crime team. This pivotal role drives the analytical strategy across AML, Fraud, Screening, and KYC domains, leveraging expertise in impact analysis, experimentation methodologies, root cause analysis, and risk exploration to enhance our risk management capabilities. You will lead modelling of financial impacts like cost of churn, develop advanced causal inference techniques, forecast capacity and demand, perform in-depth root cause investigations, and analyze risks across customer segments. Collaborating closely with cross-functional teams, you will provide actionable insights to align efforts with business objectives and drive data-driven decisions in a high-growth fintech environment. Join our diverse, inclusive team committed to money without borders. With competitive salary (100000 - 125000 GBP Annual), RSUs, flexible working, and more, help us create a new network for the world's money—for everyone, everywhere.

Key Responsibilities

• Impact Analysis: Lead the modelling of the cost of churn and other financial impacts of fincrime controls, providing insights to optimise our risk management strategies
• Experimentation Methodologies: Develop and implement advanced experimentation methodologies and causal inference techniques to assess the effectiveness of fincrime controls and initiatives
• Capacity and Demand Forecasting: Conduct capacity and demand forecasting to ensure our fincrime teams are equipped to handle current and future challenges effectively
• Root Cause Analysis: Perform in-depth root cause analysis to identify underlying issues and opportunities within our fincrime processes and customer segments
• Risk Exploration: Explore and analyze risk across different customer segments, providing actionable insights to enhance our risk mitigation strategies
• Cross-Functional Collaboration: Work closely with the AML, Fraud, Screening, and KYC teams to align analytical efforts with business objectives and drive data-driven decision-making

Required Qualifications

• Experienced analyst or data scientist who likes to operate with a high degree of autonomy in often ambiguous/diverse problem sets
• Strong quantitative skills with a background in statistics, mathematics, or a related field
• Able to demonstrate that you can tell a story and proactively give guidance on strategy based on insights
• Proven ability to lead cross-functional projects and influence decision-making at a strategic level
• Worked with C-level stakeholders and evidence building strong relationships at this level to achieve alignment on complex topics

Preferred Qualifications

• Technical breadth as an analyst from insight generation, building data models, building reporting and executing testing (a/b testing, geo testing etc.)
• Worked in fintech or a similar high growth industry

Required Skills

• Impact analysis and financial modelling
• Experimentation methodologies and causal inference
• Capacity and demand forecasting
• Root cause analysis
• Risk analysis across customer segments
• Storytelling and strategic guidance from insights
• Cross-functional leadership and influence
• C-level stakeholder management
• Data modelling and insight generation
• A/B testing and geo testing

Benefits

• RSUs (stock options)
• Flexible working
• Parental leave
• Learning budget
• Paid sabbatical after 4 years
• Health insurance
• Company retreat
• Wise card

Wise is an equal opportunity employer committed to building a diverse workforce.