Senior Analyst, AML Data Quality

ScotiabankToronto, ON
Onsite

About The Position

The Senior Analyst, AML Data Quality supports the development, implementation, and sustainment of the Data Quality/Issue Management process for the AML Data Domain and collaborates with stakeholders to improve data quality through roadmap and remediation activities.

Requirements

  • Bachelor’s degree or higher
  • Minimum of 2 years of experience in data quality, data governance, or data issue management within a financial institution, preferably in AML / Compliance
  • Experience with enterprise data governance and issue management tools (e.g., Governance Console, Collibra)
  • Experience supporting audit, regulatory, or second-line oversight related to data quality or data controls
  • Knowledge of data platforms, data management, data models, and data processing in Hadoop EDL, using scripts/tools such as Hive SQL and/or Python
  • Experience designing and delivering Power BI dashboards and management reporting
  • Strong analytical and problem-solving skills
  • Strong understanding of AML data domains, regulatory expectations, and enterprise risk management concepts
  • Experience in taking data issues, tracking progress, and reporting as part of monthly Business Working Group sharing with stakeholders
  • Strong communication and presentation skills (both verbal and written), with the ability to influence
  • Demonstrated ability to independently manage complex data issues and apply sound, risk-based judgment

Responsibilities

  • Support and participate in the operations of the AML Data Quality Monitoring (DQ) Process based on Enterprise Data Office guidelines and policies, including intaking additional AML sub-domains (Name Screening, Transaction Monitoring, Payments Screening, Customer Risk Rating, Regulatory Reporting, Management Reporting, and Risk Assessment), CDEs, and DQ rules
  • Collaborate across the end-to-end lifecycle of AML data quality issues, including identification, impact assessment, root cause analysis, remediation tracking, validation, and closure
  • Support and participate in the assessment of data quality risks across AML sub-domains, including Name Screening, Transaction Monitoring, Payments Screening, Customer Risk Rating, Regulatory Reporting, Management Reporting, and Risk Assessment
  • Collaborate on issue closure, ensuring the process is sustainable, evidence-based, and defensible, with documentation suitable for audit, regulatory, and internal review
  • Interpret and apply enterprise data standards, data quality definitions, and issue management frameworks in ambiguous or non-standard scenarios
  • Constructively challenge remediation approaches that do not adequately address root cause or risk
  • Support the design, execution, and maintenance of AML data quality monitoring and issue management activities in accordance with Enterprise Data Office guidelines
  • Analyze data quality metrics and trends, translating technical results into clear insights for senior stakeholders
  • Develop and maintain dashboards and reporting using Power BI, JIRA, and related analytics tools
  • Utilize enterprise platforms and tools (e.g., Hadoop EDL, Hive SQL, Python, Governance Console, Collibra) to support monitoring, analysis, and reporting
  • Perform all activities in alignment with the Bank’s risk appetite, risk culture, Code of Conduct, and Global Sales Principles
  • Support audit, regulatory, and second-line reviews by providing accurate, well-supported data quality evidence and explanations
  • Identify when data quality matters warrant escalation through established governance channels and support the preparation of governance-ready materials
  • Contribute to the ongoing evolution of AML data quality and issue management practices
  • Identify opportunities to improve efficiency, automation, and effectiveness of monitoring and reporting
  • Support additional AML data activities as required

Benefits

  • A competitive compensation and comprehensive benefits plan.
  • Leadership support through meaningful development conversations that enable faster advancement
  • Internal training to support growth and development
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