Trust and Safety Intelligence Analyst, Fraud and System Abuse

Trust and Safety (T&S) Intel is hiring an Intelligence Analyst to own the strategic risk picture for two interconnected threat domains: system abuse (e.g., jailbreaks, prompt injections, adversarial AI exploitation), and fraud and scams (e.g., romance scams, investment fraud, impersonation, account takeover, marketplace fraud, and AI-enabled scam tooling). You'll synthesize signal across the company into a coherent view of where both threat landscapes stand and where they're heading, converting disparate inputs into decision-ready intelligence that shapes policy, enforcement, detection, and model evaluations. You'll partner with investigators, product teams, and cross-functional analysts, translating intelligence into action.

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.

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.

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.