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7 days
Not Specified
Not Specified
$58.03/hr - $97.99/hr (Estimated)
<p>Your Opportunity</p> <p>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.</p> <p>We are seeking an experienced Data Integrity Manager with a strong background in Anti-Money Laundering (AML) to join our team. The ideal candidate will have proven expertise in data quality validation, data governance, and a risk-based approach to AML practices.</p> <p>Key Responsibilities:</p> <ul> <li>Design, implement, and maintain data quality validations using SQL. </li><li>Monitor and troubleshoot Python-based data validation jobs. </li><li>Collaborate with compliance and risk teams to ensure AML data standards and regulatory requirements are consistently met. </li><li>Support data governance initiatives by documenting processes, defining data standards, and maintain data lineage. </li><li>Apply a risk-based approach to data quality assessment, proactively identifying and escalating potential AML risks. </li><li>Provide reporting and analysis to stakeholders regarding data quality issues, resolutions, and potential AML concerns. </li></ul> <p>What you have</p> <p>Required Skills:</p> <ul> <li>Bachelor's degree in Computer Science, Information Systems, Finance, or related discipline. </li><li>Minimum of 3-5 years of experience in Data Quality, Data Analysis, or related role with direct experience in AML/KYC compliance. </li><li>Proficiency in writing and optimizing complex SQL queries. </li><li>Experience in Python for job monitoring, scripting, or automation. </li><li>Strong understanding of data governance principles, data lineage, and regulatory compliance. </li><li>Solid analytical and problem-solving skills with a demonstrated ability to identify, assess, and mitigate AML-related risks. </li></ul> <p>Preferred Qualifications:</p> <ul> <li>Certification in Anti-Money Laundering (e.g., CAMS certification) </li><li>Familiarity with AML regulations, models, frameworks, and best practices. </li><li>Experience with data management tools and data cataloging software. </li></ul> <p>Other Skills:</p> <ul> <li>Detail-oriented, proactive, and capable of working independently as well as collaboratively. </li><li>Excellent communication skills, capable of clearly articulating complex issues to both technical and non-technical stakeholders. </li><li>Strong organizational and documentation skills. </li></ul> <p>#FCRM</p>
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