Data Analyst II, Fraud

Remitly•Burnaby, BC

7d•CA$100,000 - CA$125,000•Hybrid

About The Position

As a Data Analyst, Fraud, 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 customers globally. You will develop a deep understanding of Remitly's fraud detection systems, regional risk profiles, and operational processes to improve fraud defenses while maintaining a seamless experience for legitimate customers. You'll partner with Product, Engineering, Business Management, and Compliance to customize and optimize fraud models and workflows, integrating data from legacy and new platforms. This hybrid role requires 2–3 days per week in the Vancouver office.

Requirements

3+ years in an analytics or fraud/risk analysis role within fintech, e-commerce, or digital payments.
Experience with fraud or trust analytics.
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 (chargebacks, identity theft, scams, 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 fraud data (e.g. chargebacks, promo abuse, scams, onboarding risk).
Build data-driven models and dashboards to analyze and monitor fraud exposure, balancing customer experience with operational efficiency.
Collect, normalize, and analyze data from legacy prebriefs, transaction logs, and onboarding systems to identify fraud trends and behavior anomalies.
Partner with Business Management and Product to continuously improve customer 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 fraud exposure, policy compliance, and system performance.
Provide actionable insights and influence the development of fraud detection strategies, tools, and automation.