Application Deadline:

08/15/2026

Address:
100 King Street West

Job Family Group:

Data Analytics & Reporting

Position Overview

We're hiring a specialist role to join the ETF Analytics and AI Solutions team within BMO Global Asset Management, supporting the development and maintenance of ETF systems and analytics. The role will be integral in driving the transformation of existing systems platforms across all asset classes while also monitoring daily ongoing operations. The ideal candidate combines a deep understanding of data engineering with a strong knowledge of financial markets and ETFs.

Team Structure

• Work in a collaborative team of ~5 specialists within a larger 25-person GAM team.
• Partner closely with data engineers, portfolio managers, and business analysts.

Roles and Responsibilities

System Development

• Contribute to the design and implementation of a modern portfolio management platform using cutting-edge technology that supports advanced ETF analytics and portfolio workflows.
• Collaborate with portfolio managers and technology teams to create innovative portfolio management solutions.
• Partner with Data Engineers and Business Analysts to architect robust data pipelines and real-time analytics capabilities.
• Assist in shaping the future-state system architecture, ensuring clarity and alignment with strategic goals.

Operational Monitoring & Maintenance

• Oversee daily system operations, including monitoring daily automated jobs to confirm successful execution.
• Investigate and resolve failed jobs promptly; rerun processes as needed to maintain data integrity.
• Maintain and support the current infrastructure while actively contributing to the design and implementation of the future-state platform.

ETF Analytics

• Build intuitive, high-performance front-end tools for portfolio managers.
• Develop portfolio optimization workflows to enhance investment decision-making.
• Build real-time analytics capabilities for faster insights and improved operational efficiency.
• Ensure scalability of the platform to support growing data volumes and complex investment strategies.
• Collaborate on solutions that enable new investment products and asset classes, expanding the platform's capabilities.

Required skills and experience

• SQL proficiency (5+ years).
• Python proficiency (5+ years).
• Cloud computing system skills (Snowflake / AWS / Azure).
• Strong understanding of asset management and ETF analytics (designation preferred).
• Hands-on experience with operational monitoring and troubleshooting.
• Strong teamwork and cross-functional collaboration skills.

Preferred skills and experience

• Familiarity with Streamlit, Prefect, Pydantic, NumPy, pandas, SQLAlchemy, plotly.
• Knowledge of investment performance and risk analytics.
• Advanced degree in computer science, financial engineering, or related field.
• Degree or designation in financial markets.
• Experience in systems migration or transition.

Salary:

$67,200.00 - $124,200.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards