Engineering Analyst, Payments, Trust and Safety

Google Google · Big Tech · Hyderabad, Telangana, India +1

This role focuses on investigating fraud and abuse incidents within Google's payments ecosystem, performing statistical analysis on payment and risk data, and collaborating with engineering and product teams to enhance tools and systems. It involves managing operations programs, assessing product risks, and responding to escalations, with a strong emphasis on user trust and safety.

What you'd actually do

  1. Investigate fraud and abuse incidents, 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.
  2. Perform statistical analysis using payments and risk data warehouses. Collaborate with Engineering and Product teams to create and enhance tools, develop signals, improve system functionality, accuracy and efficiency.
  3. 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.
  4. Perform end-to-end assessment of the associated risk and vulnerability of products and features. Respond to escalations from internal and external parties within designated service levels.
  5. Perform on-call responsibilities on a rotating basis, including weekend coverage.

Skills

Required

  • data analysis
  • identifying trends
  • generating summary statistics
  • drawing insights from quantitative and qualitative data
  • managing projects
  • defining project scope, goals, and deliverables
  • SQL
  • R
  • Python
  • C++

Nice to have

  • Master's degree in a quantitative discipline
  • payments industry
  • risk or fraud management
  • statistical analysis and machine learning libraries (e.g., R, Scikit-learn,TensorFlow)
  • Python
  • C/C++
  • Large Language Models (LLMs) or Generative AI
  • identify workflow pain points, optimize, automate and scale processes
  • comfortable interacting with internal and external stakeholders
  • Excellent communication, problem-solving, and critical thinking skills with attention to detail in an ever-changing environment.

What the JD emphasized

  • payments industry
  • risk or fraud management
  • statistical analysis
  • machine learning libraries
  • Large Language Models (LLMs) or Generative AI
  • identify workflow pain points, optimize, automate and scale processes