AML Transaction Monitoring Analyst

Google is hiring a Data Analyst for its Payments Compliance team. Candidates may choose to work from either Chicago, IL, USA or Austin, TX, USA. Preferred working location: Chicago, IL, USA; Austin, TX, USA. Qualifications Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Information Systems) 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 in an analytical, data science, or quantitative risk management role within AML compliance, trust and safety, or financial services. Preferred qualifications Experience writing and optimizing SQL queries to extract, clean, and analyze datasets. Experience building data visualizations or dashboards (e.g., Tableau, Looker, Business Intelligence Platform, or equivalent) and automating workflows using Python, scripting, or basic automation tools. Excellent written and verbal communication skills. About the job As part of the Google Payments Compliance team, the analyst will safeguard users and protect products from fraud and financial crime by ensuring strict adherence to global Anti‑Money Laundering (AML) and Counter‑Terrorist Financing (CTF) regulations. This role partners with Regional Compliance, Payments Platform, and Engineering teams to manage financial crime risk across Google's payments ecosystem. Responsibilities include designing, implementing, and optimizing the AML program, processes, and operations to maintain regulatory compliance. Additional duties include supporting the global development and strategic management of Google Payments' systemic AML/CTF transaction monitoring program, building reporting dashboards, automating operational workflows, tuning and governing monitoring triggers, and integrating AI capabilities to improve efficiency and scalability across compliance operations. US base salary range: $108,000–$153,000, plus bonus, equity, and benefits. Salary is determined by role, level, location, and individual qualifications. Responsibilities Collaborate with the Transaction Monitoring Lead to develop, test, and deploy static rules and machine learning models that enhance AML detection. Maintain comprehensive documentation of monitoring logic, risk coverage, and tuning processes. Design AI agents and refine Large Language Model (LLM) prompts to accurately identify and classify financial crime patterns. Build visualization dashboards and automated workflows to report on performance and reduce manual tasks. Execute ad‑hoc data queries and quantitative analysis to support technical projects and emerging risk scenarios. Google is a proud equal‑opportunity and affirmative action employer. We are committed to building a workforce that reflects the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire. English proficiency is required for all roles unless otherwise stated in the job posting. #J-18808-Ljbffr Google Inc.