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Job Details
Posted date: Jul 18, 2025
Location: Seattle, WA
Level: Senior
Estimated salary: $153,500
Range: $126,000 - $181,000
Description
Investigate fraud and abuse incidents, identify patterns and trends in order to generate holistic risk management solutions. Promote user trust and safety by managing and mitigating payment fraud, scams and abuse on Google products and services. Perform statistical analysis using payments and risk data warehouse, collaborate with Engineering and Product teams to create and enhance tools, develop signals, improve system functionality, accuracy and efficiency. Facilitate and manage operations programs, working closely with Google engineers, product managers and vendor operations to develop and track project schedules and timelines. Use technical experience to drive and implement automation opportunities. Perform end-to-end assessment of the associated risk and vulnerability of products and features. Respond to escalations from internal and external parties within designated service levels. Perform on-call responsibilities on a rotating basis, including weekend coverage.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 work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed, in order to ensure a safe and secure Payments ecosystem for our users. You will identify and solve problems and will posses technical skills to innovate and optimize our processes and tools. You will be proactive, motivated, organized, reliable, and able to work well in a changing, global, cross-functional, and team-oriented environment to get things done. You will take pride in knowing that every day you are working to promote users trust in Google and ensuring the highest levels of user safety.
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.
The US base salary range for this full-time position is $126,000-$181,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Qualifications
Minimum qualifications: Bachelor's degree or equivalent practical experience.2 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. Experience with one or more of the following languages: SQL, R, Python, or C++.
Preferred qualifications: Master's degree in a quantitative discipline.
2 years of experience in the Payments industry, working on risk or fraud management. Knowledge in one or more of the following areas: statistical analysis and Machine Learning libraries (e.g., R, Scikit-learn,Tensorflow), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI. Ability to identify workflow pain points, optimize, automate and scale processes. Excellent communication skills and comfortable interacting with internal and external stakeholders. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Extended Qualifications
Bachelor's degree or equivalent practical experience.2 years of experience in data analysis or data science, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. Experience with one or more of the following languages: SQL, R, Python, or C++.
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