Principal, Fraud Intelligence

About the role

Want to help us help others? We're hiring! GoFundMe is the world's most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes-for themselves and each other. Together, our community has raised more than $40 billion since 2010. Join us! The GoFundMe team is searching for a strategic and highly technical Principal, Fraud Intelligence to help shape and scale our next generation of fraud defenses across our global platform. This role will sit at the intersection of Product, Engineering, Data, and Fraud Operations - serving as the connective tissue that ensures our systems, tools, and teams work together to proactively detect, prevent, and respond to fraud. This is a high-impact senior individual contributor role for someone who thrives in complexity, enjoys going deep on fraud problems, and can translate insights into scalable, system-level solutions. The Job Serve as the go-to expert on fraud defenses, partnering closely with Product and Engineering to design and evolve scalable risk tools and strategies. Define and operate a layered fraud defense approach across internal systems, third-party vendors, data signals, rules, and operational workflows. Act as a primary partner to Product teams - supporting PRD development, aligning on concepts, and driving implementation of fraud prevention tools and systems. Analyze fraud trends in detail and translate insights into actionable improvements across systems, rules, controls, and workflows. Bridge the gap between Fraud Operations and Product, ensuring frontline insights are embedded into product and system design. Identify and evaluate new data signals from external vendors to enhance detection capabilities and support rule and workflow development. Manage and optimize fraud rules, thresholds, scoring logic, and vendor configurations to improve detection quality and reduce unnecessary manual review. Design and optimize workflows across systems and tools to reduce redundancy, improve efficiency, and increase effectiveness. Build a strong partnership between fraud systems and human operations so they reinforce each other. Leverage ML and AI systems to improve fraud detection, and develop scalable frameworks for training and refining models using operational inputs. Partner with Data teams to define and build data pipelines, dashboards, and reporting that support fraud systems, vendor integrations, decisioning frameworks, and executive visibility. Translate regulatory and compliance requirements into clear, actionable workflows and system requirements, in collaboration with Legal and Compliance. Develop fraud intelligence reporting for leadership, including emerging typologies, trend analysis, control performance, and recommended countermeasures. Support response to high-severity fraud incidents or emerging threat spikes by providing analysis, coordination, and recommended system-level mitigations. Define and implement case quality and feedback loops to ensure consistent, high-quality fraud decisions and better system training. Manage relationships with third-party fraud vendors, ensuring performance is measured, optimized, and aligned to business needs. You Have 8-12+ years of experience in fraud, risk, fraud intelligence, risk analytics, trust & safety, marketplace abuse, financial crime, or related fields. Have deep experience assessing and implementing fraud solutions, including rules, signals, vendors, workflows, and detection strategies. Have prior experience working closely with Product and Engineering teams, with a strong understanding of product development and technology concepts such as APIs, SDKs, JavaScript-based integrations, and vendor implementation requirements. Bring deep experience across a range of third-party fraud vendors and solutions, including device intelligence, behavioral signals, identity, payments, account security, or marketplace risk tools. Are highly data-driven and able to use insights from multiple systems to guide decisions and influence senior stakeholders. Enjoy going deep into complex problems and translating them into scalable, system-based solutions. Have a strong understanding of modern fraud technologies, including ML/AI-driven detection systems. Have experience measuring and optimizing fraud performance across operations, quality, vendor effectiveness, and customer impact. Are comfortable analyzing fraud typologies such as payment fraud, account takeover, scams, fundraiser/account fraud, mule activity, and platform abuse. Are a self-starter who thrives in fast-paced environments, navigates ambiguity well, and focuses on driving measurable impact. Excel at cross-functional collaboration with Product, Engineering, Data, Legal, Compliance, and Operations teams, and can communicate technical concepts clearly to drive alignment and execution. Are well-c

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