Data Analyst, Fraud – Small & Micro Business

Remitly•Seattle, WA

4d•$112,000 - $120,000•Hybrid

About The Position

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.

Requirements

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.

Responsibilities

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.