Top Tech Jobs & Startup Jobs in Toronto

Support fund operations including money moves, trade corrections, price reconciliation, audits, regulatory filings, and dealer relationships. Assist IFM and UMA platform development, liaise with third-party service providers, and produce reporting to internal teams.

Manage daily website operations and publish content across landing pages, microsites, and campaigns while ensuring brand, accessibility (WCAG 2.1), and SEO standards. Use analytics (Google/Adobe Analytics) and A/B testing to optimize performance and conversions, collaborate with cross-functional teams on personalization and digital initiatives, document publishing workflows, and pilot new web experiences.

As an AI/ML DevOps Engineer, you will operationalize AI solutions, build CI/CD pipelines, and ensure production system reliability. Collaborate with data scientists and engineers to deliver AI capabilities and maintain strong operational practices.

As a Business Systems Analyst II, you will gather requirements, document processes, engage stakeholders, support testing, and ensure high-quality implementations for financial products in a collaborative environment.

The Manager will oversee the Private Client Administration team, ensuring quality service, staff management, compliance with policies, and process improvements in financial services.

Design and optimize scalable data pipelines, develop reusable frameworks, troubleshoot production issues, and enforce data engineering standards while collaborating with stakeholders.

The Internal Auditor executes audits, assesses internal controls, and provides consultative support for improvements, enhancing compliance and efficiency.

The Data Steward ensures data governance and quality by managing metadata, supporting data quality initiatives, and collaborating with stakeholders to document data lineage and manage access controls.

The Data Operations Specialist will manage data operations, ensuring quality data services and compliance, while optimizing data workflows and conducting audits.

The Data Engineer will design, develop, and maintain data pipelines, transform data, and support analytics for investment and client reporting in a cloud environment.