Setting the standard for investment excellence and advice.
Toronto, Ontario
CI Financial is an independent company offering global asset management and wealth management advisory services. We are driven by a commitment to provide individuals and institutions with the highest-quality investments and advice—and offer a comprehensive and innovative selection of strategies and services. Our employees are at the heart of everything we do. They must be comfortable in a fast-paced environment in an industry that is always changing. A healthy dose of ambition, a willingness to go the extra mile and a strong sense of camaraderie are what we look for in our team members. You can find job postings for all CI Financial companies on this page. And if you’d like to learn more about our lines of business, you can do so on the following pages: CI Global Asset Management, CI Assante Wealth Management, CI Investment Services, and CI Direct Investing.
Hybrid · Toronto
Operationalize Gen AI and machine learning solutions by building reliable CI/CD pipelines and production environments. Collaborate with data scientists and engineers to move AI prototypes into scalable, secure, and high-performance production systems.
Hybrid · Toronto
Design, build, and optimize scalable data pipelines and reusable frameworks for data ingestion and transformation. Partner with stakeholders to translate business requirements into technical solutions while maintaining CI/CD pipelines and resolving production issues.
Hybrid · Toronto
The role involves investigating source systems to reverse-engineer business logic and mapping data for large-scale migration initiatives. You will collaborate with stakeholders to document findings and support data validation during UAT.
Hybrid · Toronto
Support data for order management and investment book of record systems to ensure accurate trading, performance, and risk reporting. Maintain the security master file and reference data while collaborating with IT on process improvements and system testing.
Hybrid · Toronto
The Data Analyst will investigate source systems, reverse-engineer business logic, and map data to target systems for large-scale integration initiatives. They will also collaborate with business stakeholders to ensure data accuracy and produce detailed documentation such as data dictionaries and gap analysis reports.
Hybrid · Toronto
The Data Analyst will analyze large datasets to uncover insights and develop data processes that enhance business decision-making. They will collaborate with stakeholders and data engineers to build reports, dashboards, and maintain data mapping specifications.
Hybrid · Toronto
Design, build, and optimize scalable data pipelines while maintaining CI/CD workflows for data platforms. Partner with stakeholders to translate requirements into technical solutions and ensure data quality and system reliability.
Hybrid · Toronto
The AI/ML DevOps Engineer will operationalize Gen AI and machine learning solutions by building and maintaining CI/CD pipelines and production environments. They will collaborate with data scientists and engineers to transition AI solutions from prototype to production while ensuring reliability and security standards are met.