Top Tech Jobs & Startup Jobs in Toronto

This role entails supporting financial performance management for the US Cash Management team, focusing on financial governance, reporting, and advisory services. Responsibilities include monitoring key metrics, conducting financial analysis, ensuring alignment with strategic priorities, and collaborating with stakeholders to enhance operational efficiency and cost savings.

The Vulnerability Management Scanning Engineer will implement and support scanning capabilities across IoT, Cloud, and on-premise environments. Responsibilities include full lifecycle management of vulnerabilities, providing guidance on performance and security, and collaborating with stakeholders to integrate initiatives effectively.

As a QE Engineer, you will be responsible for developing and executing test plans, identifying and tracking defects, conducting regression testing, collaborating with cross-functional teams, and driving continuous improvement in testing methodologies to ensure product quality.

In this role, you will support business-critical applications, troubleshoot production issues, and collaborate with stakeholders to implement technical solutions. You will utilize management tools for issue tracking, lead problem-solving meetings, and ensure adherence to data governance policies while managing relationships with technology partners.

The Insurance Marketing Manager will implement innovative acquisition and growth marketing strategies across various channels to drive business growth for RBC Insurance. Responsibilities include planning, executing high-impact campaigns, managing budgets, collaborating with cross-functional teams, and analyzing campaign performance to optimize results. The candidate will leverage data and insights to fuel marketing opportunities and ensure timely delivery of projects.

The Senior Product Manager will lead agile labs, collaborate with business partners to refine product requirements, and manage the lifecycle of products using innovative technologies like GenAI and Machine Learning. The role involves risk management, vendor relations, and effective communication of project status across different audiences.

The Senior Data Scientist will lead data analysis and machine learning initiatives, collaborate with teams to solve business problems, develop and validate ML models, produce data-driven insights, and provide mentorship to junior data scientists.