Fraud Analyst

About Faire

About Faire Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.

Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

What You’ll Do

• Partner with senior team members and leadership to execute against and improve fraud and abuse strategies, adapting approaches to emerging risks
• Manage and optimize moderate levels of fraud investigation and escalation work, applying strong judgment to balance risk, customer experience, and operational consistency
• Identify vulnerabilities in existing policies, products, or processes, and support the scoping and implementation of mitigations, owning defined components of the work
• Partner with teams such as Data Science, Engineering, and Product to support enhancements to existing tools and features that reduce fraud exposure
• Use data and analytics to surface insights, inform decisions, and improve fraud detection and operational efficiency
• Build strong working relationships with internal partners and stakeholders to drive issues to resolution
• Develop and maintain clear documentation, playbooks, and processes that support scalable and effective fraud operations
• Track key metrics, flag anomalies or emerging risks, and escalate issues appropriately to support team and business goals

• Bachelor’s degree and 2 - 4 years of relevant experience in fraud, risk, trust & safety, or a related analytical field
• Experience handling fraud investigations, escalations, or operational risk work, with the ability to operate independently within defined areas
• Strong analytical skills, with experience using data to support decisions and inform prioritization (SQL proficiency is a plus)
• Ability to break down problems, identify root causes, and propose practical solutions with guidance when needed
• Experience contributing to projects or process improvements, including managing dependencies and communicating risks
• Clear written and verbal communication skills, with the ability to explain fraud decisions to internal stakeholders

San Francisco: the pay range for this role is $111,500 to $153,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Applications for this position will be accepted for a minimum of 30 days from the posting date.

• We are entrepreneurs:
  Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
• We are using technology and data to level the playing field:
  We are leveraging the power of product innovation and machine learning to connect…