Engineering Analyst, Trust and Safety, Ads

Written by the T&S Network from Google's posting.

Fights fraud and scam abuse against Google Ads, the advertising product, by investigating adversarial actors and building detection and enforcement signals. The team partners with Google's abuse fighting and user trust groups to reduce risk across advertisers and publishers, with work spanning malware, spam and account hijacking.

• Fraud and scams
• Spam and platform abuse

What you'd do

• Run deep investigations into adversary tactics and procedures to track actors and disrupt organized fraud rings.
• Analyze malware distribution, cloaking and policy circumvention using statistical and technical methods.
• Develop data-driven insights on new adversarial fraud trends and threat actor intelligence.
• Build feature signals and predictive models that feed automated detection and ML improvements.
• Lead rapid response for high-severity incidents and conduct root cause analyses for long-term prevention.
• Design anti-abuse experiments to find product gaps and stress-test protections against scam patterns.
• Work with product managers, engineers, policy, sales and review teams on enforcement strategy, including agentic AI automation.

What it asks for

• Bachelor's degree, or equivalent hands-on experience (required).
• Two years analyzing data to spot trends, summarize figures and draw conclusions from numbers and qualitative material (required).
• 2 years of experience managing projects, defining scope, goals and deliverables (required).
• Master's degree in a quantitative discipline (preferred).
• 2 years of experience or familiarity with SQL, R, Python or C++ (preferred).
• Two years working with machine learning systems (preferred).
• Strong problem-solving, critical thinking, written and verbal communication skills (preferred).

Worth knowing

• Rotating on-call duty, including weekend and holiday coverage.
• May be exposed to graphic, controversial or upsetting content.

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Googlenorth_east before you apply. If we got something wrong, report this listing.