Fraud Analyst

Faire
San Francisco, CA$112k – $154kPosted 24 February 2026

Job Description

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. About this role We’re looking for an experienced Fraud Analyst to help protect the integrity of our community of brands and retailers by identifying fraud risks, improving detection, and strengthening our fraud and abuse programs. As a member of the Risk org’s Fraud Abuse team, you’ll collaborate closely with functional experts and cross-functional partners to execute against fraud strategies that enable Faire to innovate while delivering a safe, trusted experience for our customers. You’ll work hands-on with fraud data, investigations, and operational processes, while contributing insights that help improve systems and outcomes over time. This is an ideal role for someone who wants to be a high-impact individual contributor within the Fraud Abuse space, owning defined areas of work with meaningful autonomy while continuing to build deep fraud and risk expertise. 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 Qualifications 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 Salary Range 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, m ... (truncated, view full listing at source)
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