AML Manager, Data Integrity and Assurance

Charles Schwab Corporation; Saskatchewan; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading company in the finance industry is looking for an experienced Data Integrity Manager. The role focuses on data quality validation, governance, and ensuring compliance with AML regulations. Candidates should have strong SQL and Python skills, along with a solid understanding of data governance principles. This position offers the opportunity to make a significant impact on data integrity and compliance efforts within the organization.

Qualifications

• 3-5 years of experience in Data Quality, Data Analysis, or AML/KYC compliance.
• Proficiency in writing and optimizing complex SQL queries.

Responsibilities

• Design and maintain data quality validations using SQL.
• Monitor Python-based data validation jobs.
• Collaborate with compliance teams for AML data standards.

Skills

Data Quality

Data Analysis

Analytical Skills

Problem Solving

Communication

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Systems

Bachelor’s degree in Finance

Tools

SQL

Python

Job description

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.

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.

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 Skills:

• Bachelor’s degree in Computer Science, Information Systems, Finance, or related discipline.
• Minimum of 3-5 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.
• Strong 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.

Other Skills:

• 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.

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