Senior Strategist, Scams and Verification Trust and Safety

About the job

Trust and 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.

Responsibilities

• Collaborate with cross-functional groups such as PM, Engineering, Sales, and Legal to drive projects that increases users' safety and provide better online experience through Google Ads.
• Apply advanced statistical methods and technical analysis to uncover sophisticated abuse vectors.
• Lead investigations into complex tactics, techniques, and procedures (TTPs) to perform actor tracking and disrupt organized fraud rings targeting Google Ads.
• Identify automation and efficiency opportunities and drive solutions through analysis or cross-functional partnerships.
• Provide periodic on-call coverage and drive the rapid response for high-severity adversarial incidents, plus conduct thorough root cause analyses (RCAs) to implement long-term structural preventions.

Qualifications

• Minimum qualifications: Bachelor's degree or equivalent practical experience; 4 years of experience in data analytics, trust and safety, policy, risk analysis, or related fields; Experience in SQL.
• Preferred qualifications: Master's degree in Computer Science, Engineering, Mathematics, Statistics, or Analysis, or a related technical field; Experience with scripting and coding (e.g., Python, Java); Experience with fraud or policy investigations, fraud risk management, Internet advertising, or e-commerce; Experience in roles related to business analysis or statistical analysis/machine learning; Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

Pay

$116,000 - $167,000 (USD) + 15% bonus target + equity + benefits