31 Oct
|
Mackenzie Investments
|
Toronto
31 Oct
Mackenzie Investments
Toronto
Job Description Location: Toronto
Referral Level: Level 1
Mackenzie Investments
IGM Financial Inc. is a leading wealth and asset management company in Canada, managing approximately $310 billion in assets as of December 31, 2025. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments.
Mackenzie Investments, founded in 1967, is a key part of IGM's business model, serving as a comprehensive asset-management partner for Canadian financial advisors and their clients.
At Mackenzie Investments You Can Build Your Career with Confidence.
We are proud to be recognized as one of Canada's Top 100 Employers for the fourth consecutive year and one of Canada's Best Diversity Employers. Our vision and strategy aim to innovate the industry and support Canadians in achieving their financial goals.
Join our team to engage in continuous learning and skill development in a supportive environment. Experience the best of both worlds with our hybrid work environment, where you spend three days a week in the office, connecting, collaborating, and enjoying quality time with your amazing colleagues Our Values: Be better; we strive for improvement in everything we do. Be accountable; we foster clarity and are empowered to act responsibly. Be a team; we are united to drive collective impact to achieve our goals.
The Role: The Investment Management department of Mackenzie Investments is seeking a Director, Investment Research to build and run the data, quantitative and AI capabilities that support our boutique investment teams. Working closely with the AI platform lead,
you will own the delivery and day-to-day reliability of the platform that portfolio managers and analysts rely on - the enterprise data hub, the MCP integration layer, AI agents and the cloud infrastructure behind them - and help shape its strategy and roadmap. You will also build and oversee the quantitative models, risk reports and performance attribution that inform portfolio decisions.
This is a hands-on leadership role at the intersection of investment research, data engineering and applied AI. You will work directly with portfolio managers and analysts across boutiques, and with enterprise technology, risk and vendor partners.
Key Responsibilities Include: Work closely with the AI lead to shape and deliver the data and AI strategy and roadmap for Mackenzie's boutique investment teams, representing the teams' priorities and communicating plans and trade-offs to senior leaders.
Own the delivery and reliability of the data hub, MCP layer, AI agents and the infrastructure behind them Build and oversee the quantitative models, risk reports and performance attribution that support portfolio decisions
Maintain and enhance the infrastructure layer needed for all investment management workflows
Manage data vendors and contracts to secure the right datasets for the teams Serve as the trusted AI and data partner to portfolio managers, analysts and technology partners
Deliver ad hoc research and portfolio-related analysis as needed.
Minimum requirements for this role include:
University degree in Engineering, Mathematics, Finance, or Science A minimum of 5+ years of relevant work experience
Proven record of delivering enterprise data platforms or AI solutions into production for investment professionals, or in a similar domain Strong quantitative foundation, with hands-on experience building and productionizing quantitative models Working knowledge of risk reporting and performance attribution, and of how portfolio managers use them in investment decisions Technical depth across cloud architecture (AWS or similar), data engineering, APIs, Python and SQL, enough to guide design decisions and review the team's work Working knowledge of large language models, AI agents and MCP or similar integration patterns, with sound judgment on security, governance and responsible AI use Ability to prioritize competing demands across investment teams and communicate effectively with senior leaders and technical teams
Strong interest in capital markets
Additional skill considerations Minor, Certificate, or Master’s degree in Business, Economics or Finance, or CFA designation would be an asset Exceptional analytical, research and problem-solving skills Commitment to working in a team context.
The expected annual base salary range for this role is $145,000 - $175,000 which is determined based on skills, knowledge and experience and geographic location. In addition to base salary, this role is eligible for annual short-term incentive, health and well-being perks, retirement and savings plan, paid time off and career development.
Benefits: COMPETITIVE COMPENSATION & RECOGNITION:
competitive base salary, performance-weighted b
📌 Director Investment Research (Toronto)
🏢 Mackenzie Investments
📍 Toronto