Engineering Analyst, Trust and Safety Payments

• Manage payment fraud and abuse mitigation to promote user trust and safety across Google products.
• Investigate incidents and perform statistical analysis to identify trends and generate risk management solutions.
• Assess product vulnerabilities to design and implement end-to-end fraud and abuse mitigation strategies.
• Collaborate with global Engineering and Product teams to enhance tools, develop signals, and improve system efficiency.

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 in the Payments industry, working on risk or fraud management.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.
  

Preferred qualifications:

• Master's degree in a quantitative discipline.
  
• Strong project and program management skills and experience.
• Working knowledge in one or more of the following areas: programming languages (e.g., Python, R, C/C++), statistical analysis (e.g., Scipy) and machine learning libraries (e.g., Scikit-learn, TF), Large Language Models (LLMs) or Generative AI Agents.
• 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.

• 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 in the Payments industry, working on risk or fraud management.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.