Abuse Analyst, Trust and Safety, Messaging
Job Summary
Job Description
This Abuse Analyst role at Google involves globally navigating online safety challenges and tackling abuse and fraud at scale. You'll collaborate with engineers and product managers to analyze trends, develop anti-abuse solutions, and build dashboards to track abuse levels. Responsibilities include leveraging reputation systems (phone number, user, IP), productionizing ML models, and creating awareness of threats. The work requires expertise in data analysis, database management (SQL, Python), and ideally experience with messaging (xMS/RCS) or SIM/Phone number fraud. You'll present findings to cross-functional partners and influence strategies to promote user safety and trust in Google products.
Must have:
- Data analysis & trend identification
- SQL, Python experience
- Messaging/fraud abuse knowledge
- Cross-functional collaboration
- Problem-solving & critical thinking
Good to have:
- Master's degree
- Golang experience
- Fraud investigation experience
- ML model productionization
Perks:
- Bonus
- Equity
- Benefits
9 skills required
Job Details
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 5 years of experience in data analysis, including identifying trends, generating statistics, and drawing insights from data.
- Experience with data analysis and database management (e.g., SQL, Python, etc.).
Preferred qualifications:
- Master's degree or equivalent practical experience.
- 8 years of experience working on signal development, data analysis, cyber security, or anti-abuse.
- Experience with fraud/abuse investigations, fraud risk management, security and threat analysis in the context of internet, telephony, or communication-related products.
- Experience with one or more languages: SQL, Python, Golang, including knowledge in Messaging (xMS/RCS) or SIM/Phone Number fraud and abuse.
- Excellent communication and presentation skills to deliver findings to cross-functional partners, and the ability to influence cross-functionally at various levels.
- Excellent problem-solving and critical thinking skills with attention to detail in a fluid environment.
About the job
In this role, you will work globally and cross-functionally with Google Engineers and Product Managers to navigate challenging online safety situations and work on abuse and fraud at Google scale. You take satisfaction in knowing that every day you are working hard to promote 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 $147,000-$216,000 + 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 .
Responsibilities
- Analyze trends, conduct data analysis, and identify new signals to develop solutions for scaled enforcement.
- Develop an understanding of abuse in messaging, current cross-product workflows, and available intelligence.
- Work with cross-functional teams to design and build anti-abuse protections leveraging reputation at all levels (phone number, user, IP etc.), and advise on counter-abuse strategies. Also includes productionizing Machine Learning (ML) models.
- Build dashboards to track abuse levels, perform quality checks to measure system/model reliability, and resolve false positives. Create awareness of threats and educate clients to reduce the problem upstream.
- Lead projects to prevent Google's infrastructure from being abuse, harm or fraud, resulting in losses to users or Google. Collaborate cross-functionally to develop requirements based on data analysis and product understanding.
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