Senior Data Analyst - Fraud Risk

Location: Global

Team: General

About the Role

Wise is revolutionizing global money movement with its mission of Money Without Borders. As a Senior Data Analyst - Fraud Risk, you'll lead quantitative risk analytics embedded within our analytics teams, driving the evolution of our financial crime risk management strategy. This hands-on role at the intersection of data and mission-critical risk will see you building scalable dashboards, KRIs, and proactive initiatives to identify and mitigate fraud risks in our complex, global payment ecosystem. You'll design risk appetites, conduct deep-dive analyses, provide inputs for product changes and governance committees, and collaborate with compliance, CRO, and model risk teams to shape our risk strategy. With millions of customers and vast datasets, you'll unlock value through data-driven insights, influencing team direction and ensuring Wise scales securely. Join a diverse, international team passionate about fixing a broken financial system. Influence positive global change while enjoying flexible work, RSUs, learning budgets, and more. If you're a quantitative expert ready to tackle complex fraud challenges, this is your chance to make a tangible impact at Wise.

Key Responsibilities

• Design, develop and maintain dashboards of KRIs and risk appetites for Fraud risk management
• Proactively identify and lead risk initiatives including metrics development, deep dives, trend analysis, and incident thematics
• Provide quantitative assessments for product changes, risk frameworks, scenario testing, and regional impact analysis
• Collaborate with risk managers on control assurance testing for DE and OE scenarios
• Support quarterly risk assessments and present findings to governance committees
• Work with second line model risk management and key stakeholders on risk strategy
• Embed robust risk quantification across Fraud domain
• Drive data-driven decision making to mitigate financial crime risks

Required Qualifications

• Extensive experience in risk analytics, particularly in financial crime or fraud risk management
• Strong background in quantitative risk assessment and data analysis
• Proven track record in building scalable analytics solutions for risk management
• Experience with dashboard development and KRI monitoring
• Hands-on experience in financial services or fintech environment

Preferred Qualifications

• Advanced degree in Statistics, Mathematics, Economics, or related field
• Experience in model risk management or control assurance testing
• Knowledge of regulatory frameworks for financial crime
• Prior work in global payments or cross-border transactions
• Familiarity with Wise's mission and products

Required Skills

• Advanced SQL and data querying
• Dashboard tools (e.g., Tableau, Looker)
• Statistical modeling and quantitative analysis
• Risk metrics and KRI development
• Trend analysis and deep dive investigations
• Python or R for data analysis
• Financial crime risk knowledge
• Stakeholder collaboration and presentation skills
• Scenario testing and control assurance
• Proactive problem-solving mindset

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.