Top Tech Jobs & Startup Jobs in Toronto

Owns end-to-end support operations and service management for TD’s Rahona data platform. Responsibilities include application strategy, roadmap ownership, incident and escalation management, access approvals, risk and compliance controls, change and deployment management, stakeholder coordination, project intake, reporting, and continuous service improvement. The role bridges business users and technology teams while overseeing application performance, data integrity, governance, budgets, audits, and enterprise initiatives.

Leads KYC technology enablement strategy, roadmap development, demand intake, requirements, portfolio prioritization, governance, and delivery partnerships. Translates regulatory, risk, operational, data, and business needs into technology requirements and sequenced initiatives. Collaborates across technology, product, architecture, cybersecurity, privacy, data, and operations. Establishes outcome measures, supports automation and AI opportunities, and builds business analysis and technology enablement capabilities while coaching team members.

Leads actuarial and data analysts delivering analytics, reporting, monitoring, and explainability solutions. Manages strategic initiatives, workloads, stakeholder relationships, and end-to-end analyses presented to executives and business partners. Provides people leadership through development planning, team engagement, and talent retention while applying SQL, Python, and R to develop innovative analytical solutions. Requires substantial relevant experience and General Insurance expertise.

Executes and validates wealth transactions, resolves operational issues, meets service-level requirements, and supports internal partners, clients, and vendors. The role ensures regulatory and policy compliance, investigates higher-risk activities, maintains confidentiality, and contributes to process improvements. It involves manual and automated transaction processing across systems, handling routine and non-routine requests, escalating issues appropriately, and participating in team development, cross-training, and knowledge sharing.

Leads a team of actuaries and data scientists delivering machine learning and analytical solutions for property and casualty insurance pricing. Sets the strategic direction for end-to-end modeling, oversees scalable frameworks and inference pipelines, partners with stakeholders and model governance teams, ensures regulatory compliance, and mentors team members across technical and business disciplines.

Develops and maintains actuarial predictive models for Property & Casualty insurance using statistical and machine learning techniques. Collaborates with pricing teams, presents findings, supports model governance and compliance, writes maintainable Python code, monitors model performance, and manages multiple modeling projects with detailed documentation.

Business Insights Analyst II role with TD Insurance in Montreal, focused on analytics and business insights within the Analytics, Insights, and Artificial Intelligence line of business. The job description does not provide specific responsibilities or qualifications. TD offers training, development opportunities, benefits, and a salary range of CAD 100,000–130,000.

Develop and grow a mortgage customer base through referrals from realtors, builders, financial planners, and other partners. Build and maintain customer relationships, pursue new business, conduct sales activities, and apply mortgage and credit knowledge. The role includes targeted sales training, coaching, flexible scheduling, independent territory management, customer service, networking, and relationship development, supported by TD’s sales management systems and tools.

Develop executive dashboards, scorecards, and governance reporting for the bank’s KYC program. Analyze customer risk, control performance, operational trends, and emerging risks using large datasets. Provide strategic insights, segmentation, recommendations, and data-driven support for regulatory remediation and continuous improvement. Partner with Compliance, Technology, Data Management, Operations, and business stakeholders while promoting data quality, governance, reporting automation, and clear communication to senior leadership.

Supports compliance risk assessments, policies, controls, reporting, and advisory activities for assigned business portfolios. Analyzes risk exposures, monitors regulatory and operational controls, assists with audits and examinations, prepares management insights, and escalates high-risk issues. The role also provides compliance guidance, resolves business problems, supports process improvements, and collaborates with business management, control functions, and auditors.