
Engineering Analyst, Trust and Safety
- Hyderabad, Telangana
- Permanent
- Full-time
- Bachelor's degree or equivalent practical experience.
- 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 1 year of experience managing projects and defining project scope, goals, and deliverables.
- 2 years of experience in the Payments industry, working on risk or fraud management and 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.
- Experience in innovation, technology and Google products.
- Ability to interact with internal and external stakeholders with attention to detail in an ever-changing environment.
- Ability to identify workflow pain points, optimize, automate and scale processes.
- Excellent communication, problem-solving and critical thinking skills.
- Investigate fraud and abuse incidents, identify patterns and trends in order to generate 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 warehouse, collaborate with engineering and product teams to create and enhance tools, develop signals, improve system functionality, accuracy and efficiency.
- 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 experience to drive and implement automation opportunities.
- 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.