
11 - 50 employees
Founded none
🤲 Charity
🤝 Non-profit
🌍 Social Impact
Charity • Non-profit • Social Impact
GoFundMe. org is a registered 501(c)(3) nonprofit organization that operates independently from GoFundMe, Inc and the GoFundMe fundraising platform. It focuses on rapidly raising and distributing funds to assist people and communities in times of crisis, such as natural disasters and social injustices. Since its inception in 2017, GoFundMe. org has raised and distributed over $160 million across more than 150 funds, providing over 15,000 grants to meet urgent needs and support critical social change. The organization collaborates with a wide range of community and corporate partners to drive philanthropic priorities and social impact goals, leveraging GoFundMe, Inc’s technology and resources. GoFundMe. org also accepts various forms of donations, including checks, crypto, donor-advised funds, and wire transfers, to maximize its impact.
🔥 5 minutes ago
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11 - 50 employees
Founded none
🤲 Charity
🤝 Non-profit
🌍 Social Impact
Charity • Non-profit • Social Impact
GoFundMe. org is a registered 501(c)(3) nonprofit organization that operates independently from GoFundMe, Inc and the GoFundMe fundraising platform. It focuses on rapidly raising and distributing funds to assist people and communities in times of crisis, such as natural disasters and social injustices. Since its inception in 2017, GoFundMe. org has raised and distributed over $160 million across more than 150 funds, providing over 15,000 grants to meet urgent needs and support critical social change. The organization collaborates with a wide range of community and corporate partners to drive philanthropic priorities and social impact goals, leveraging GoFundMe, Inc’s technology and resources. GoFundMe. org also accepts various forms of donations, including checks, crypto, donor-advised funds, and wire transfers, to maximize its impact.
• Serve as the go-to expert on fraud defenses, partnering 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 and translate insights into actionable improvements • Bridge the gap between Fraud Operations and Product, ensuring insights are embedded into design • Identify and evaluate new data signals from external vendors • Manage and optimize fraud rules, thresholds, scoring logic, and vendor configurations • Design and optimize workflows across systems and tools • Build partnership between fraud systems and human operations • Leverage ML and AI systems to improve fraud detection • Partner with Data teams to define and build data pipelines, dashboards, and reporting • Translate regulatory and compliance requirements into actionable workflows • Develop fraud intelligence reporting for leadership • Support response to high-severity fraud incidents • Define and implement case quality and feedback loops • Manage relationships with third-party fraud vendors
• 8-12+ years of experience in fraud, risk, fraud intelligence, risk analytics, trust & safety, marketplace abuse, financial crime, or related fields • Deep experience assessing and implementing fraud solutions, including rules, signals, vendors, workflows, and detection strategies • 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 • 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 • Highly data-driven with ability to use insights from multiple systems to guide decisions • Strong understanding of modern fraud technologies, including ML/AI-driven detection systems • Experience measuring and optimizing fraud performance across operations, quality, vendor effectiveness, and customer impact • Comfortable analyzing fraud typologies such as payment fraud, account takeover, scams, fundraiser/account fraud, mule activity, and platform abuse • Self-starter who thrives in fast-paced environments and navigates ambiguity well • Excel at cross-functional collaboration and can communicate technical concepts clearly • Well-connected in the fraud ecosystem and stay current on emerging trends, tools, and best practices • SQL, Python, dashboarding, or advanced analytics experience preferred
• Competitive pay and comprehensive healthcare benefits • Financial assistance for work, family planning, and generous parental leave • Flexible time-off policies • Mental health and wellness resources
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