Anti Money Laundering, Data Quality Senior Specialist

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

Please note: This position is M-F during standard business hours with a hybrid work model (4 days in-office, 1 day working from home). It is only available in the areas listed. Candidate must reside or be willing to relocate on their own to one of the listed areas. Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.

We are seeking an experienced Data Quality Senior Specialist with a background in Risk/Compliance/Anti-Money Laundering (AML) to join our team. The ideal candidate will have proven expertise in data quality validation and data governance.

Key Responsibilities:

• Design, implement, and maintain data quality validations using SQL.

• Monitor and troubleshoot Python-based data validation jobs.

• Collaborate with compliance and risk teams to ensure AML data standards and regulatory requirements are consistently met.

• Support data governance initiatives by documenting processes, defining data standards, and maintain data lineage.

• Apply a risk-based approach to data quality assessment, proactively identifying and escalating potential AML risks.

• Provide reporting and analysis to stakeholders regarding data quality issues, resolutions, and potential AML concerns.

What you have

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Finance, or related discipline.

• Minimum of 1-3 years of experience in Data Quality, Data Analysis, or related role with direct experience in AML/KYC compliance.

• Proficiency in writing and optimizing complex SQL queries.

• Experience in Python for job monitoring, scripting, or automation.

• Conceptual understanding of data governance principles, data lineage, and regulatory compliance.

• Solid analytical and problem-solving skills with a demonstrated ability to identify, assess, and mitigate AML-related risks.

Preferred Qualifications:

• Certification in Anti-Money Laundering (e.g., CAMS certification)

• Familiarity with AML regulations, models, frameworks, and best practices.

• Experience with data management tools and data cataloging software.

• Detail-oriented, proactive, and capable of working independently as well as collaboratively.

• Excellent communication skills, capable of clearly articulating complex issues to both technical and non-technical stakeholders.

• Strong organizational and documentation skills.