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Job Details
Posted date: Nov 15, 2024
There have been 2 jobs posted with the title of Engineering Analyst, Trust and Safety, Payments all time at Google.Location: Seattle, WA
Level: Senior
Estimated salary: $144,500
Range: $117,000 - $172,000
Description
Promote user trust and safety by managing and mitigating payment fraud and abuse for Google products and services.Investigate fraud and abuse incidents, identify patterns and trends in order to generate holistic risk management solutions.
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.
Perform assessment of the risk and vulnerability of products and features, and design and implement fraud and abuse mitigation strategies.
Participate in the on-call rotation schedule to manage escalations that may occur outside of standard work hours including weekends/holidays.
Google's brand is only as strong as our users' trust--and their steadfast belief that our guiding principles are what's best for them. Our Trust and Safety team has the critical responsibility of protecting Google's users by ensuring online safety by fighting web abuse and fraud across Google products. On this team, you're a big-picture thinker and strategic leader. You understand the user's point of view and are passionate about using your combined technical, sales and customer service acumen to protect our users. You work globally and cross-functionally with Google developers and Product Managers to navigate challenging online safety situations and handle abuse and fraud cases at Google speed (read: fast!). Help us prove quality on the Internet trumps all.
As a Trust and Safety Strategist, you are responsible for protecting the integrity of some of Google's key products, including Google Search, Google Maps, Google Ads, AdSense, Google Checkout and Google Product Search. You investigate financial fraud, account-related abuse, questionable business practices, violations of Google's policies, and general misuse of our products. You are introduced to dynamic analytical techniques and you leverage custom-built technology to have a direct impact on improving the experience of millions of Google users. You subscribe to a "user-first" philosophy and are interested in improving Google's user experience and product integrity. You are comfortable navigating ambiguity and thrive in a fast-paced environment. You harness your analytical and technical skills to drive tool development and process improvements.
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 diverse 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 $117,000-$172,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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.
2 years of experience managing projects and defining project scope, goals, and deliverables.
Experience with SQL.
Preferred qualifications: 4 years of experience in data analytics and data science. Experience in the Payments industry, working on risk or fraud management.
Experience in querying and analyzing sets of data. 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. Excellent project and program management skills. 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.
2 years of experience managing projects and defining project scope, goals, and deliverables.
Experience with SQL.
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