Apply Python, SQL, and Power BI expertise to capital risk data analytics at 250 Yonge Street. Bridge business, analytics, and technology across risk infrastructure. This experienced data and risk skilled supports risk technical platforms, systems, and data management processes. The manager provides specialized analytical and technical support using credit risk analytics and risk systems expertise. The work strengthens risk reporting, governance, and decision-making through independent analysis and recommendations. Key Responsibilities:

Provide production and end-user support for risk technical platforms Coordinate databases and maintain data governance alignment Analyze data to deliver insights and recommendations Monitor risk infrastructure, applications, and business transactions Support data reconciliation between core risk systems Requirements:

Experienced data and risk professional Expertise in Python, SQL, and Power BI Knowledge of risk systems and credit risk analytics Ability to conduct independent analysis and solve problems Ability to work with internal and external stakeholders Lead capital risk data analytics through Python, SQL, Power BI, governance, and risk systems support.

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📌 Capital Risk Data Analytics Manager (Toronto)
🏢 BMO
📍 Toronto