Top Tech Jobs & Startup Jobs in Toronto

The Senior Enterprise Architect will develop technology architectures, collaborate with leaders, optimize technology portfolios, and ensure architectural standards.

The Analyst supports Regional Pricing by developing user stories, collaborating with teams, conducting data analysis, and ensuring pricing accuracy. Responsibilities include market analysis and business testing.

The Director will lead the Operational Resilience and Third-Party Risk Management programs, ensuring compliance and enhancement through strategic risk management, stakeholder collaboration, and effective communication.

The Analyst, Workday Operations will manage HR operations processes in Workday, ensuring data integrity, supporting transactions, and conducting audits.

Lead a team of data scientists to develop machine learning models and advanced statistical solutions for merchandising and marketing. Foster talent development and establish modeling practices to support strategic business objectives.

Lead development and maintenance of the banks Operational Resilience Framework and associated software. Manage application configuration, integrations, user access, testing, updates, and vendor support. Provide risk oversight, reporting, training, and subject-matter expertise while ensuring regulatory alignment and continuous improvement through collaboration with stakeholders and monitoring of industry trends.

The Category Business Analyst supports Category Business Managers by analyzing product lines and vendor processes to enhance customer satisfaction and improve brand strength.

The IT Audit Manager plans and executes IT audits, assesses cybersecurity controls, documents findings, and promotes compliance, leveraging data analytics and AI.

Support and manage the bank's Operational Resilience Framework and program, perform second-line oversight, conduct assessments and monitoring, produce resilience reporting, lead stakeholder meetings, provide subject-matter guidance, and deliver training and awareness sessions.

The Data Scientist will support model development for personalization and customer engagement, analyze data, and integrate models into production workflows.