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Our client, a large Canadian financial institution, is seeking a Senior Data Analyst to support its Security Office as part of a major modernization initiative involving issuer core banking systems. The role will focus on regulatory compliance related to anti-money laundering (AML) and tax evasion, while ensuring high data quality, proactive change management, and effective stakeholder coordination.
Job Responsibility:
Analyze and manipulate complex datasets to support regulatory and security initiatives
Identify trends, patterns, and insights to support business and compliance decisions
Design and develop data models and predictive analyses
Build interactive dashboards and reports to clearly communicate insights
Query, manage, and maintain structured and relational databases
Support data quality, governance, and compliance requirements
Collaborate with security, compliance, technology, and business stakeholders
Requirements:
Strong experience in data analysis and data modeling
Proficiency in Python, SQL, and scripting languages
Solid knowledge of relational databases and data structures
Experience with data visualization tools (dashboards and reporting)
Strong analytical, critical-thinking, and problem-solving skills
Ability to communicate insights to both technical and non-technical audiences
Nice to have:
Experience within financial services or banking environments
Exposure to AML, tax compliance, or regulatory data initiatives
Experience supporting large transformation or modernization programs