Data Analyst, Fraud Micro Business

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At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending money globally, providing secure, simple, and reliable ways to manage their money, ensuring true peace of mind. Whether it's supporting loved ones back home, growing a business across continents, or pursuing new opportunities abroad, we're not just here to move money— we're here to move our global customers forward.

We're looking for builders, reimaginers, and global thinkers who want to work at the intersection of technology, trust, and transformation. If that's you and you're ready to do the most meaningful work of your career—we invite you to join over 2,800 passionate Remitlians worldwide who are united by our vision to transform lives with trusted financial services that transcend borders.

As a Data Analyst, Fraud – Small & Micro Business (SMB), you will be part of Remitly's Identity & Trust Analytics Team. Your mission is to leverage analytical methods to identify, prevent, and mitigate fraud impacting our small and micro business customers globally. You will develop a deep understanding of Remitly's fraud detection systems, regional SMB risk profiles, and operational processes to improve fraud defenses while maintaining a seamless experience for legitimate businesses.

You'll partner with Product, Engineering, Business Management, and Compliance to customize and optimize fraud models and workflows for SMB transactions, integrating data from legacy and new platforms. This hybrid role requires 2–3 days per week in the Seattle office.

• Become an expert on Remitly's SMB fraud data (e.g., scams, chargebacks, promo abuse, business onboarding risk).
• Build data‑driven models and dashboards to analyze and monitor SMB fraud exposure, balancing customer experience with operational efficiency.
• Collect, normalize, and analyze data from legacy SMB prebriefs, transaction logs, and onboarding systems to identify fraud trends and behavior anomalies.
• Partner with Business Management and Product to continuously improve small‑business verification, KYC/KYB, and compliance workflows.
• Design and evaluate experiments and A/B tests to measure fraud control effectiveness and minimize false positives.
• Develop and track risk metrics that quantify SMB fraud exposure, policy compliance, and system performance.
• Provide actionable insights and influence the development of fraud detection strategies, tools, and automation.

• 2+ years in an analytics or fraud/risk analysis role within fintech, e-commerce, or digital payments.
• Experience with fraud or trust analytics, ideally including small‑business or merchant ecosystems.
• Bachelor's degree in mathematics, engineering, economics, or another quantitative discipline (or equivalent experience).
• Proficiency with SQL and hands‑on experience analyzing large datasets (Python, R or statistical modeling experience preferred).
• Strong understanding of fraud taxonomies (scams, chargebacks, identity theft, onboarding risk, and promo abuse).
• Demonstrated ability to distill business problems, develop hypotheses, perform analysis, and communicate clear recommendations.
• Excellent data storytelling and communication skills; ability to translate complex findings into business decisions.

The starting base salary range for this position is typically $112,000–$120,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

• Flexible paid time off
• Health, dental, and vision + 401k plan with company matching
• Paid parental, medical, military and family care leave
• Mental Health & Family Forming Benefits
• Employee Stock Purchase Plan (ESPP)
• Continuing education and travel benefits