Trust and Safety Intelligence Analyst, Fraud and System Abuse
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Apply to Trust and Safety Intelligence Analyst, Fraud and System Abuse at GoogleJob details
- Location
- Washington, District of Columbia
- Work type
- Onsite
- Compensation
- $116,000 - $167,000/yr
- Posted
- yesterday
- Apply on
- careers.google.com
About this role
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 4 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
- Experience analyzing online harms, including scam typologies, adversarial AI exploitation, or threat actor behavior.
Preferred qualifications:
- Master’s degree or advanced degree in Criminology, Security Studies, Public Policy, Data Science, or Behavioral Science.
- Experience with the financial crime ecosystem, payment rails, or the adversarial AI ecosystem, including jailbreak communities and prompt injection techniques.
- Experience designing and using risk frameworks and harm classification taxonomies to structure ambiguous problem spaces.
- Experience building or operating with agent skills, LLM-based analytical workflows, or other AI-assisted tooling.
- Experience using SQL to conduct data-oriented analysis and influence business decision-making by presenting insights and market trends.
About the job
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
In this role, you will sit at the center of Google's trust and safety intelligence work, owning the strategic risk picture for how bad actors manipulate LLMs and exploit Google's products to deceive and financially harm users. You'll synthesize signal from across the company into a coherent view of where both threat landscapes stand today and where they're heading. You will convert disparate inputs into clear, decision-ready intelligence that shapes policy, enforcement, detection, and model evaluations.
At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $116000 - $167000 (USD) + 15% bonus target + bonus + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Produce all-source intelligence on system abuse and fraud and scam threats targeting Google users to identify and prioritize emerging threat actor Tools, Tactics, and Procedures (TTPs).
- Partner with the Investigations team to translate ground-level findings from active casework into strategic trend analysis for leadership.
- Serve as the central analytical node to aggregate domain-specific insights into a holistic risk picture spanning both threat domains.
- Deliver analytical products, ranging from situational updates to in-depth strategic assessments, for Trust and Safety leadership and product teams.
- Build and maintain agent skills and AI-assisted tooling to scale analytical capacity and automate recurring research and signal triage.