Engineering Analyst, Payments, Trust and Safety

Google•Seattle, WA

About The Position

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.

Requirements

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.
Experience in SQL for data extraction, manipulation, and analysis of datasets.

Nice To Haves

Master's degree in a quantitative discipline.
2 years of experience in the payments industry, working on risk, credit risk, or fraud management.
Working knowledge 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.
Ability to identify workflow pain points, and optimize, automate, and scale processes.
Excellent communication skills, and comfort interacting with internal and external stakeholders.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment

Responsibilities

Investigate fraud and abuse incidents, and 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.
Perform statistical analysis using payments and risk data warehouses; collaborate with engineering and product teams to create and enhance tools, develop signals, and improve system functionality, accuracy, and efficiency.
Lead projects through a full project lifecycle that requires cross-functional stakeholder management.
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.
Perform on-call responsibilities on a rotating basis, including weekend coverage.