• 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 risk management solutions.

• 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.

• Perform end-to-end assessment of the riskiness and vulnerability of products and features, design and implement fraud and abuse mitigation strategies.

• 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.

The Trust and Safety team reduces risk and protects the experience of the users and business partners in more than 40 languages and across Google's expanding base of products. We defend Google's integrity by fighting spam, fraud and abuse, and develop and communicate product policies. We work with a variety of teams from Engineering to Legal, Public Policy and Sales Engineering to set policies and combat fraud and abuse in a scalable way, often finding industry-wide solutions. Trust and Safety team members are motivated to find innovative solutions, and use technical know-how, user insights and proactive communication to pursue the highest possible quality and safety standards for users across Google products.

In this role, you will be responsible for restricting or preventing policy violators and abusers to ensure a safe and secure payment environment for the users. You will identify and solve complex problems and have strong investigative and technical skills to innovate and optimize the processes and tools. You will be proactive, motivated, organized, responsible, innovative and work well in a fluid, global, cross-functional, and team-oriented environment and demonstrate technical know-how, effective communication to get things done.

• 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 managing projects and defining project scope, goals, and deliverables.