Engineering Analyst, Messages Spam and Abuse

1 Month ago • 2-4 Years • Data Analyst • $126,000 PA - $181,000 PA

Job Summary

Job Description

This Engineering Analyst role focuses on combating spam and abuse in Google's messaging services. You'll analyze trends, develop anti-abuse solutions, work with cross-functional teams, build monitoring dashboards, and create real-time threat awareness. Responsibilities include leveraging data analysis to design and build protections, collaborating on counter-abuse strategies, and leading projects to prevent infrastructure abuse. The role requires experience in data analysis, project management, and ideally, familiarity with messaging systems and fraud investigations.
Must have:
  • Data analysis & database management (SQL, Python)
  • Project management & scope definition
  • Abuse detection & signal development
  • Cross-functional collaboration
  • Problem-solving & critical thinking
Good to have:
  • Master's degree
  • Experience with fraud/abuse investigations
  • Messaging (xMS/RCS) or SIM/Phone Number fraud expertise
  • Golang experience
  • Excellent communication & presentation skills
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • 2 years of experience managing projects and defining project scope, goals, and deliverables.
  • Experience with data analysis and database management (e.g., SQL, Python, etc.).

Preferred qualifications:

  • Master's degree.
  • 4 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 (e.g., written and verbal) 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 an ever-changing 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 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.

Responsibilities

  • Analyze emerging 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 (e.g., phone number, user, IP etc.), and advise on counter-abuse strategies, including productionizing Machine Learning (ML) models and heuristic rules.
  • Build monitoring and alerting dashboards to track abuse levels, perform quality checks to measure system/model reliability, and resolve false positives. Create real-time 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 robust data analysis and granular product understanding.

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