Data Analyst II, Fraud

Job Description
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.

About the Role
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.

You Will

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.

You Have

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.

Compensation Details
The starting base salary range for this position is $100,000 - $125,000. In Canada, 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.

Our Benefits

Four weeks vacation

Health Benefits

Mental Health & Family Forming Benefits

RRSP plan with company match

Employee Stock Purchase Plan (ESPP)

Life Insurance & Disability

Continuing education and travel benefits

Our Connected Work Culture:
Driving Innovation, Together
We foster dynamic in‑person collaboration, with an in‑office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. These intentional in‑office moments deepen relationships, fuel creativity, and ensure impact is felt where it matters most.

Equal Opportunity Statement
Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Remitly is an E-Verify employer.

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