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Data Analyst II, Fraud

Burnaby, British Columbia, Canada

Pay
$100,000–125,000/year · BaseAnnual period assumed — pay source
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 - $125000. 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. #LI-Hybrid Our Benefits
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Work setup
Unconfirmed
Employment
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What you’ll work on

Full posting

As a Data Analyst, Fraud, you will be part of Remitly's Identity & Trust Analytics Team.

Become an expert on Remitly's fraud data (e.g.

  • 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.

From the employer’s posting
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.
Become an expert on Remitly's fraud data (e.g. chargebacks, promo abuse, scams, onboarding risk).
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:

Tools in this posting

  • Python
  • R
  • SQL
Source — Tool mentions in context
- 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).

Benefits in the posting

Full benefits wording
  • 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
  • Remitly is an E-Verify Employer

From the employer’s posting.

Job description

View original posting ↗

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.
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

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 - $125000. 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. #LI-Hybrid

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

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster.Under the Company's current hybrid-work expectations, employees in this position work onsite Tuesday through Thursday each week. Additional onsite attendance may be required based on business needs, and the Company may modify its hybrid-work expectations from time to time. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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  • Check the listed location, eligibility and core experience before starting.

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Source & posting history

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Source excerpts

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Pay
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 - $125000. 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. #LI-Hybrid Our Benefits
Location & working pattern

Burnaby, British Columbia, Canada

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:
More source context
- 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 - $125000. 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. #LI-Hybrid Our Benefits

More relevant text appears in the full description.

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Status in our records
Active
First seen by us
Sep 10, 2026
Recorded sightings
75
Last seen by us
Oct 9, 2026
Employer says posted
Aug 30, 2026

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