Top Tech Jobs & Startup Jobs in Toronto

Lead business analysis and delivery for Portfolio Servicing Platform initiatives including requirements elicitation, backlog/roadmap support, reporting and dashboard development (SQL/SSRS/Power BI), testing, implementation, post-implementation support, stakeholder engagement, and process improvement across investment systems.

The Associate Director will lead technology strategy, focusing on Data and AI solutions, drive innovation, and enhance customer success through collaboration and strategic partnerships.

The Associate/Senior Associate will enhance investment decision-making and operations by developing technology platforms, integrating data, and applying AI in private capital investment processes.

Join a dynamic team to enhance portfolio analytics and reporting for private credit investments, focusing on data management and cross-functional collaboration.

As a DevOps Engineer, you will maintain and evolve platforms on GKE/GCP, build CI/CD pipelines, manage infrastructure as code, and improve observability. Collaborate with teams on deployments and incident responses, and document processes.

The Director of Change Management will lead strategic transformation initiatives across investment finance and operations, ensuring alignment and execution of enterprise objectives, and fostering stakeholder collaboration for measurable business outcomes.

The Senior Analyst, Finance and Accounting manages financial accounting, reporting, and analysis for real estate portfolios, ensuring compliance and driving operational efficiency.

The role requires managing HR initiatives, supporting project work, and creating governance materials while ensuring accuracy in departmental documents.

The Analyst will develop quantitative models, conduct macro research, support portfolio management, and enhance risk frameworks within Overlay Management.

The Data Engineer will design and build robust data pipelines using Microsoft Fabric and Azure services, focusing on both structured and unstructured data processing, ensuring data quality and supporting analytics and AI-driven insights.