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Senior Fraud Operations Analyst

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Shopify

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Job Description:

Shopify's Trust team develops solutions to prevent, detect and mitigate bad actors as well as developing tooling to scale and streamline complex workflows. Our mandate is challenging, varied, and constantly evolving. We are looking to add a Senior Fraud Analyst to join our Trust team. As a subject matter expert on all things merchant fraud, you will identify fraud vectors and detect high risk patterns of behavior and keep up to date on emerging trends and industry best practices. You will play a key role in shaping Shopify’s fraud-related policies and monitoring efforts to create a trustworthy product and mitigate financial losses.

Job Responsibility:

  • Use data to investigate new risk patterns and translate findings into repeatable, scalable solutions
  • Partner with product, engineering, and data teams to translate fraud insights into technical requirements and automated solutions
  • Share regular updates, insights, and knowledge with fraud operations teams and cross-functional partners
  • Mentor team members, maintain playbooks and documentation, and raise the bar for fraud analysis across Shopify
  • Identify and address gaps in reporting, dashboards, and operational tooling
  • Own and oversee merchant fraud investigations and conduct deep-dive analyses on complex, high-exposure fraud schemes
  • Identify and develop fraud detection measures and mitigation strategies that balance fraud prevention with merchant friction and business growth
  • Monitor and analyze internal and external fraud trends to anticipate emerging threats

Requirements:

  • Substantial experience in merchant fraud analysis specifically within the payments processing and ecommerce sectors
  • In-depth knowledge of merchant fraud patterns with the ability to think creatively and analytically
  • Proven capability in shaping fraud prevention strategies and detection rules
  • Exceptional written and oral communication skills
  • Proven track record in comprehensive case studies and risk evaluations
  • Comfort with ambiguity and obscurity
  • A self-starter comfortable working with remote teams and in a highly independent role

Nice to have:

  • Strong background in crafting and upholding detailed policies and procedures, along with managing knowledge systems
  • Proven collaboration skills with Product, Engineering, and Data teams
  • Proficiency in SQL with a demonstrated ability to leverage data analytics to influence business decisions
  • Experience with fraud prevention in Banking as a Service (BaaS) environments or in financial crime analysis

Additional Information:

Job Posted:
January 26, 2026

Work Type:
Remote work
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