Engineering Analyst, Payments Trust and Safety
Google · Posted Oct 15
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
Google's Trust & Safety team identifies and takes on the biggest problems that challenge the safety and integrity of Google products, using technical know-how, user insights, and proactive communication to protect users and partners from abuse across products like Search, Maps, Gmail, and Google Ads. The team of Analysts, Policy Specialists, Engineers, and Program Managers works to reduce risk and fight abuse such as malware, spam, and account hijacking, protecting users, advertisers, and publishers globally in over 40 languages. This role sits in Payments Trust and Safety, managing and mitigating payment fraud and abuse, performing statistical analysis on payments and risk data, and designing and implementing fraud and abuse mitigation strategies with engineering and product teams.
What you will do
- 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 end-to-end assessment of the riskiness and vulnerability of products and features, design, and implement fraud and abuse mitigation strategies.
- 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.
- Engage and collaborate with cross-functional teams globally. Work closely with engineers, product managers, and various internal and external stakeholders to launch risk mitigation solutions.
- Participate in the on call rotation schedule to manage high priority escalations that may occur outside of standard non work hours including weekends/holidays.
Skills used in this role
Preferred qualifications
- 4 years of experience in the Payments industry, working on risk or fraud management.
- Experience in querying and analyzing large sets of data.
- Strong project and program management skills and experience.
- Working 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.
- Demonstrated ability to identify workflow pain points, optimize, automate and scale processes.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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