Negotiable
Outside
Hybrid
USA
Summary: Our client, a large Canadian financial institution, is looking for a Senior Data Analyst to enhance its Security Office as part of a modernization initiative focused on regulatory compliance, particularly in anti-money laundering and tax evasion. The role emphasizes data quality, change management, and stakeholder coordination. The analyst will work with complex datasets to derive insights that support compliance and business decisions. This position can be remote or based in Montreal, Quebec.
Key Responsibilities:
- 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
Key Skills:
- 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
Salary (Rate): undetermined
City: Montreal
Country: Canada
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: Senior
Industry: Finance
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.
Key Responsibilities
- 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
Required Skills & Qualifications
- 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