Top Tech Jobs & Startup Jobs in Toronto

The Manager, Sales Compensation oversees the design, administration, and governance of compensation programs, ensuring alignment with business objectives while providing operational support and analytical insights.

The Senior Compliance Analyst ensures adherence to trading policies, supports post-trade surveillance, and identifies conflicts of interest and policy violations while coordinating compliance activities and enhancing controls.

The Senior Analyst in Operations Risk & Control manages risk assessments, identifies control gaps, and collaborates with teams to ensure effective operational risk management.

The Strategy Lead will develop records management strategies, oversee program delivery, and manage change while ensuring compliance and improving operational efficiency.

The Intermediate Quality Engineer will design and develop automated test suites, analyze results, collaborate with teams, and improve testing practices to ensure software quality.

This analyst role supports the operational and reporting requirements of Variable Annuity and Indexed-Linked Products Hedging, overseeing trading parameters, generating reports, and improving data quality.

The Senior Consultant will lead the adoption of data governance in the Global WAM segment by implementing frameworks, facilitating stakeholder engagement, and overseeing data quality initiatives.

As a Data Scientist, you will develop AI products, manage data operations, and design pipelines while collaborating with various engineering teams to enhance trust and performance in GenAI systems.

Lead project management for Treasury Operations, ensuring milestones are met, risks are mitigated, and stakeholder engagement is maintained. Collaborate on technology enhancements and optimize processes while focusing on continuous improvement and operational readiness.

The Senior AI Engineer will develop and deploy AI solutions, improve operational efficiency, and ensure production-grade AI services for Long-Term Care. Responsibilities include building ML pipelines, monitoring models, collaborating with teams, and ensuring compliance and governance.