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Google
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February 20, 2026
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Engineering Analyst, Payments, Trust and Safety

Seattle, WA
Full-time
Onsite
$126K/yr - $181K/yr
Entry, Mid Level
Google is a leading technology company focused on user trust and safety. The role involves investigating fraud and abuse incidents, performing statistical analysis, and collaborating with cross-functional teams to develop risk management solutions for Google products and services.
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Responsibilities

  • Investigate fraud and abuse incidents, and 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 warehouses; collaborate with engineering and product teams to create and enhance tools, develop signals, and improve system functionality, accuracy, and efficiency
  • Lead projects through a full project lifecycle that requires cross-functional stakeholder management
  • 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 expertise to drive and implement automation opportunities
  • Perform on-call responsibilities on a rotating basis, including weekend coverage

Qualification

Required

  • 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
  • Experience in SQL for data extraction, manipulation, and analysis of datasets

Preferred

  • Master's degree in a quantitative discipline
  • 2 years of experience in the payments industry, working on risk, credit risk, or fraud management
  • 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
  • Ability to identify workflow pain points, and optimize, automate, and scale processes
  • Excellent communication skills, and comfort interacting with internal and external stakeholders
  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment

Benefits

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
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