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Staff Threat Analyst, Ads Fraud

🕒 September 14

🇺🇸 United States – Remote

💵 $167.5k - $234.5k / year

⏰ Full Time

🔴 Lead

🧐 Analyst

👻 Ghost score 0%

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Logo of Reddit, Inc.

Reddit, Inc.

501 - 1000 employees

Founded 2005

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

📋 Description

• Formulate and execute a multi-quarter vision for advertiser fraud detection and enforcement • Prioritize high-impact risks including account takeover, payment/billing fraud, cloaking, deceptive ads, and network abuse • Conduct deep-dive investigations into complex, multi-entity fraud networks and sophisticated adversarial tactics • Drive root-cause analysis and map cluster infrastructure to prevent recurring abuse • Partner with Data Science and Engineering to translate investigative findings into detection logic, risk scores, and automated enforcement pipelines • Serve as the primary Safety subject matter expert for Ads Product, Ads Engineering, and Policy teams • Synthesize complex adversarial dynamics into strategic guidance for senior leadership • Design, document, and standardize operational playbooks, escalation frameworks, QA standards, and feedback loops

🎯 Requirements

• 7+ years of experience in threat intelligence, ad tech safety, trust & safety investigations, or platform integrity, focused on ad fraud, financial crime, ATO, or spam abuse • Demonstrated 0-to-1 track record of operating in ambiguous environments to build threat response frameworks • Strong proficiency in SQL, Python or R, and big data environments • Ability to independently query petabyte-scale datasets and construct adversarial network graphs • Experience using AI/LLMs as investigative copilots • Experience partnering with ML teams to deploy LLM-based detection classifiers • Deep functional expertise in digital ad ecosystems, ad serving infrastructure, and ad-specific fraud archetypes • Familiarity with global ad compliance, privacy regulations, and regulatory reporting standards (preferred)

🏖️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs • 401k with Employer Match • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support • Family Planning Support • Gender-Affirming Care • Mental Health & Coaching Benefits • Flexible Vacation & Paid Volunteer Time Off • Generous Paid Parental Leave • Equity in the form of restricted stock units • Potential commission, depending on the position offered • Medical, dental, and vision insurance • Interview recording opt-out opportunity • Reasonable accommodations during the interview process

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