Senior Product Analyst – Financial Crime

Overview

In this role you help Wise scale fraud controls and protect customers by turning data into actionable insights. You’ll partner with product, data science, operations, and compliance to detect, prevent, and respond to fraud across markets. You’ll model risk for new launches and drive improvements in detection rules and customer experience. This position offers high visibility and a direct impact on Wise’s ability to grow securely and efficiently.

Responsibilities

• Proactively hunt for anomalies and gaps in fraud controls using transaction and event data
• Build rules and features for the fraud detection engine and recommend operational fixes
• Deliver findings with actionable recommendations to improve controls
• Conduct root-cause and cohort analyses to explain control performance and prioritize remediation
• Align controls with customer experience and drive continuous improvements
• Define and own fraud KPIs across products and markets in collaboration with PMs, data scientists, operations, and analysts
• Identify, prioritize, and drive initiatives with product managers
• Serve as the analytical lead for fraud in new market launches and run risk scenario modeling with go/no-go recommendations
• Communicate insights to Product and Risk Committees and support strategic decision-making

Key requirements

• Minimum 3 years in product analytics in a data-driven environment
• Strong drive and ability to execute beyond analysis
• Excellent communication with senior stakeholders
• Strong analytical mindset and product intuition focused on payments and transaction flows
• Proven ability to dig into data, surface anomalies, and drive cross-team actions
• Advanced SQL, Python (pandas/scikit or similar), and dashboarding in Looker/Tableau/PowerBI

• strong communicator
• cross-functional collaboration
• proactive and action-oriented mindset
• SQL
• Python (pandas/scikit)
• Looker

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