Engineering Analyst, Trust and Safety Payments

Engineering Analyst, Trust and Safety Payments corporate_fare YouTube place Sunnyvale, CA, USA bar_chart Early Early Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.

Minimum qualifications:

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 experience in the Payments industry, working on risk or fraud management.

Preferred qualifications:

Experience in querying and analyzing data sets via SQL. 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, Pytorch), Large Language Models (LLMs) or Generative AI Agents Ability to identify workflow pain points, optimize and automate processes. Excellent project and program management skills. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. About the job The US base salary range for this full-time position is $108,000-$153,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about . Responsibilities 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 the fraud and abuse mitigation strategies. Collaborate with global Engineering and Product teams to enhance tools, develop signals, and improve system efficiency. Participate in the on-call rotation schedule to manage high priority escalations that may occur outside of standard non work hours including weekends/holidays.