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Work Arrangement: This is a hybrid role. Currently, the expectation is 3 days in-office and 2 days working from home, though this is subject to change based on business needs.

The Reporting Automation / AI Developer is responsible for designing, developing, and maintaining automated reporting solutions that improve efficiency, accuracy, and scalability across risk reporting processes. This role combines reporting automation, AI-enabled workflows, application development, and technical problem solving to modernize legacy processes and support future-state reporting platforms.

You will partner closely with risk reporting teams to translate manual, fragmented processes into reliable, automated pipelines—serving as the technical bridge between raw risk data and the accurate, timely reports our stakeholders depend on.

Responsibilities

• Reporting Automation: Design, develop, and maintain automated reporting solutions that improve the efficiency, accuracy, and scalability of risk reporting processes.
• AI-Enabled Workflows: Build and integrate AI-enabled workflows to streamline data preparation, validation, and report generation, reducing manual effort and turnaround time.
• Application Development: Develop and maintain applications and scripts (Python / Shell) that support reporting automation, monitor system health, and improve the reliability of risk reporting operations.
• Legacy Modernization: Re-engineer legacy, manual reporting processes into modern, automated pipelines that support future-state reporting platforms.
• Reporting Delivery: Design optimized data marts and star schemas tailored for Power BI consumption, and optimize SQL to deliver accurate risk reporting outputs.

Skills & Requirements

• Professional Experience: A few years of hands-on experience in reporting automation or data development, with a strong mastery of SQL (complex views, stored procedures, and performance tuning).
• Automation & Development: Proven ability to use Python and Shell scripting to automate reporting workflows and build supporting applications.
• AI Enablement: Familiarity applying AI-enabled workflows and tooling to modernize and accelerate reporting processes.
• Reporting Tools: Hands-on experience with Power BI (DAX / Power Query) is a plus; familiarity with Microsoft Fabric is also a plus.
• Engineering Practices: Version control using Git and a solid grasp of dimensional modeling and modern data warehouse concepts.
• Independence: A self-starter with the technical maturity to manage deliverables and troubleshoot complex problems with minimal supervision.

Education

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related quantitative field.

• Technical Problem Solving: Independently investigate data quality and reporting issues, identify root causes, and implement durable technical remediations.
• Clear Communication: Communicate clearly with both technical and non-technical stakeholders to ensure alignment, transparency, and data integrity across risk reporting.

Salary:

Pay Type:

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: