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Analyze system abuse and fraud threats targeting Google users, producing intelligence on threat actor tactics and procedures. Requires a bachelor's degree and four years in data analytics, Trust and Safety, policy, or cybersecurity, with experience analyzing online harms like scams or adversarial AI exploitation. Build analytical tools, partner with investigations teams on casework, and deliver strategic assessments to leadership using SQL analysis and AI-assisted workflows.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

  • 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.
  • 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.
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  • Role Trust and Safety Intelligence Analyst, Fraud and System Abuse
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google
Job Overview

Approx. salary range

225K – 356K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 17 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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