Specialist, AML Data Integrity and Assurance

Charles Schwab Corporation; Saskatchewan; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading financial services company is seeking a Data Integrity Specialist to enhance data quality and compliance with AML regulations. The role involves designing data validations, collaborating with risk teams, and ensuring adherence to data governance standards. Ideal candidates will have a background in data analysis and AML compliance, along with strong SQL and Python skills.

Qualifications

• 1-3 years of experience in Data Quality or related role.
• Proficiency in SQL and experience in Python.
• Conceptual understanding of data governance and AML compliance.

Responsibilities

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

Skills

Data Quality

Data Analysis

SQL

Python

Data Governance

Analytical Skills

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Information Systems

Bachelor’s degree in Finance

Tools

Data Management Tools

Data Cataloging Software

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 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 Skills:

• 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.

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.