Google
AML Transaction Monitoring Lead, Payments Compliance
Google, Chicago, Illinois, United States, 60290
AML Transaction Monitoring Lead, Payments Compliance
Join to apply for the
AML Transaction Monitoring Lead, Payments Compliance
role at
Google
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Chicago, IL, USA; Austin, TX, USA; Washington D.C., DC, USA
Minimum Qualifications
Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics) or equivalent practical experience.
5 years of experience in an AML/Financial Crime compliance, data science, or quantitative risk management role.
5 years of experience developing, tuning, and validating AML transaction monitoring systems or abuse detection models.
Experience in data analysis and modeling using SQL (for data extraction) and Python or R (for statistical analysis).
Experience leading cross‑functional quantitative projects.
Preferred Qualifications
Master’s degree or PhD in a quantitative discipline.
8 years of experience in an AML/BSA investigative environment, preferably within a global payments, financial technology, or technology company.
Experience with SQL, Python, and applications to machine learning (e.g., clustering, anomaly detection, supervised models) for AML or fraud detection.
Experience in payments data, payment processing, and financial crime typologies with an understanding of model risk management (MRM) principles.
Ability to explain quantitative concepts to technical and non‑technical audiences, including executive leaders with excellent communication and stakeholder management skills.
About the Job The Google Payments Compliance AML team works to safeguard Google's users and protect our products from fraud and financial crimes abuse by ensuring strict adherence to global Anti‑Money Laundering (AML)/Counter‑Terrorist Financing (CTF) regulations. We partner closely with Regional Compliance, Payments Platform, and Engineering teams to manage financial crime risk across Google's payments ecosystem. Our team is responsible for designing, implementing, and optimizing the AML program, processes, and operations that ensure Google maintains regulatory compliance.
In this role, you will be responsible for the global design, development, and strategic management of Google Payments' systemic AML/CTF transaction monitoring program. You will lead the end‑to‑end life‑cycle of our monitoring "triggers" (rules and models), from initial risk assessment and data analysis to development, tuning, and governance.
You will be responsible for driving the continuous improvement of our detection capabilities. You will blend deep AML subject matter expertise with strong quantitative and coding skills. You will be responsible for ensuring the monitoring program is effective, efficient, and demonstrably compliant with regulatory expectations and internal model risk management standards.
Responsibilities
Develop, test, and deploy new rule‑based and statistical AML detection mechanisms to address financial crime risks in existing and new products.
Drive the end‑to‑end ongoing tuning and optimization lifecycle for existing triggers to improve detection accuracy and reduce false positives, balancing risk effectiveness with operational efficiency.
Own and enhance the governance framework, including comprehensive documentation of trigger logic, data lineage/validation, and tuning outcomes to support internal audits and regulatory exams.
Research, pilot, and productionalize innovative monitoring techniques, including the application of machine learning (ML) and AI, to enhance existing rule‑based systems.
Lead collaboration with cross‑functional partners, including Engineering, Regional Compliance Officers (RCOs), and the Financial Crimes Intelligence teams, to design, propose, and operationalize new monitoring strategies. Build and maintain data pipelines, dashboards, or data solutions for the AML Investigations team.
Salary The US base salary range for this full‑time position is $147,000–$216,000 + bonus + equity + benefits. 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.
Our salary ranges are determined by role, level, and location. Our base salary only reflects compensation; bonus, equity, and benefits are additional. Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
#J-18808-Ljbffr
AML Transaction Monitoring Lead, Payments Compliance
role at
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Chicago, IL, USA; Austin, TX, USA; Washington D.C., DC, USA
Minimum Qualifications
Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics) or equivalent practical experience.
5 years of experience in an AML/Financial Crime compliance, data science, or quantitative risk management role.
5 years of experience developing, tuning, and validating AML transaction monitoring systems or abuse detection models.
Experience in data analysis and modeling using SQL (for data extraction) and Python or R (for statistical analysis).
Experience leading cross‑functional quantitative projects.
Preferred Qualifications
Master’s degree or PhD in a quantitative discipline.
8 years of experience in an AML/BSA investigative environment, preferably within a global payments, financial technology, or technology company.
Experience with SQL, Python, and applications to machine learning (e.g., clustering, anomaly detection, supervised models) for AML or fraud detection.
Experience in payments data, payment processing, and financial crime typologies with an understanding of model risk management (MRM) principles.
Ability to explain quantitative concepts to technical and non‑technical audiences, including executive leaders with excellent communication and stakeholder management skills.
About the Job The Google Payments Compliance AML team works to safeguard Google's users and protect our products from fraud and financial crimes abuse by ensuring strict adherence to global Anti‑Money Laundering (AML)/Counter‑Terrorist Financing (CTF) regulations. We partner closely with Regional Compliance, Payments Platform, and Engineering teams to manage financial crime risk across Google's payments ecosystem. Our team is responsible for designing, implementing, and optimizing the AML program, processes, and operations that ensure Google maintains regulatory compliance.
In this role, you will be responsible for the global design, development, and strategic management of Google Payments' systemic AML/CTF transaction monitoring program. You will lead the end‑to‑end life‑cycle of our monitoring "triggers" (rules and models), from initial risk assessment and data analysis to development, tuning, and governance.
You will be responsible for driving the continuous improvement of our detection capabilities. You will blend deep AML subject matter expertise with strong quantitative and coding skills. You will be responsible for ensuring the monitoring program is effective, efficient, and demonstrably compliant with regulatory expectations and internal model risk management standards.
Responsibilities
Develop, test, and deploy new rule‑based and statistical AML detection mechanisms to address financial crime risks in existing and new products.
Drive the end‑to‑end ongoing tuning and optimization lifecycle for existing triggers to improve detection accuracy and reduce false positives, balancing risk effectiveness with operational efficiency.
Own and enhance the governance framework, including comprehensive documentation of trigger logic, data lineage/validation, and tuning outcomes to support internal audits and regulatory exams.
Research, pilot, and productionalize innovative monitoring techniques, including the application of machine learning (ML) and AI, to enhance existing rule‑based systems.
Lead collaboration with cross‑functional partners, including Engineering, Regional Compliance Officers (RCOs), and the Financial Crimes Intelligence teams, to design, propose, and operationalize new monitoring strategies. Build and maintain data pipelines, dashboards, or data solutions for the AML Investigations team.
Salary The US base salary range for this full‑time position is $147,000–$216,000 + bonus + equity + benefits. 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.
Our salary ranges are determined by role, level, and location. Our base salary only reflects compensation; bonus, equity, and benefits are additional. Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
#J-18808-Ljbffr