Top Tech Jobs & Startup Jobs in Toronto

Monitor and manage client, division, and benefit terminations; analyze and reconcile accounts; engage stakeholders to close termination files; prepare adjustments and write-off authorizations; produce monthly reports; recommend process and system improvements; collaborate with Accounts Receivable and other internal teams and leverage AI-driven tools and analytics to streamline workflows.

Lead a team of Business Analysts to align technology investments and govern solutions for private markets investment management. Own platform strategy, prioritize initiatives, implement automation, analytics and AI solutions, and drive process optimization, stakeholder alignment, and talent development across investment operations, accounting, investor servicing, reporting, and data management.

Lead and coach a team to design, implement, and continuously improve advisor onboarding and transition programs. Own strategic planning, stakeholder collaboration, KPI monitoring, training materials, personalized advisor support, and data-driven reporting to ensure smooth advisor integration and elevated advisor experience.

Develop scalable, secure cloud-native backend services and APIs using Python and FastAPI on Azure. Integrate with Azure PaaS (Web Apps, Functions, Cosmos DB, Key Vault), Azure AD and Microsoft Graph, implement CI/CD, collaborate with front-end ReactJS developers and AI teams, and participate in architecture and code reviews to deliver AI-enabled data solutions.

Senior full-stack engineer to design, build, and maintain end-to-end applications and cloud infrastructure, deliver AI/GenAI use cases (LLMs, agents), ensure security and production reliability, participate in architecture and code reviews, support production (including non-office hours), and work in an Agile/SCRUM team to move solutions from concept to production.

Design, develop, and maintain scalable ETL/ELT pipelines and data architecture on Azure (ADF, Databricks, Synapse). Ensure data quality, governance (Unity Catalog), automation, CI/CD, and collaborate with data scientists, analysts, and business teams to enable analytics and operational use.

Lead information risk assessments for technology and cloud initiatives, identify threats and vulnerabilities, recommend mitigations, embed security controls into solution lifecycles, support audits and regulatory reviews, deliver guidance and training, and influence risk-aware decision-making across business and technology teams.

Design, develop, and support cloud-native trading, analytics, and risk-management applications on Azure. Integrate market data and AI/ML capabilities, maintain CI/CD pipelines, collaborate with product and business stakeholders, and drive Agile engineering best practices to deliver scalable derivatives technology.

Partner with business stakeholders to diagnose process pain points, map current and target-state operating models, quantify impacts, and design pragmatic transformation solutions. Use quantitative and qualitative analysis to measure performance and customer/employee experience, support change enablement and adoption, run workshops, document business requirements, and apply Lean/Agile/Design Thinking methods to improve service levels and cycle times.

Contact former group retirement plan members to discuss investment options, provide needs-based financial guidance and illustrations, consolidate external investments, identify referral opportunities, and educate clients on Manulife investment solutions. Role emphasizes phone-based sales conversations, personalized action plans, and compliance-focused client service within a hybrid work environment.