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This role resides in the Capital Markets Product Control team. In this role it will be required to research, builds, and implements scalable artificial intelligence systems capable of learning and making predictions to business requirements, with a focus on finance/accounting operations (month/quarter/year-end close, reconciliations, reporting, and governance). Enhances data pipelines to ensure data is clean, accurate, and optimized for machine learning models; monitors and optimizes learning processes to continuously improve model performance.

This role will help build more effective tools that would enhance the month-, quarter-, and year-end closing process, including financial reporting and financial governance. Supports an efficient and effective accounting function that uses common information sources and practices, reduces ongoing costs, and increases service level performance. This role looks to also drive change using AI tools and skills set to generate efficiencies.

• Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
• Researches, builds, and implements scalable AI systems to support business requirements, including finance/accounting reporting and governance needs.
• Runs tests, performs statistical analysis, and interprets test results to validate model performance and reliability for business use.
• Monitors, evaluates, and optimizes learning processes to continuously improve high-performance models.
• Provides advice and guidance to assigned business/group on implementation of solutions.
• Supports the execution of strategic initiatives; includes tracking metrics and milestones.
• Builds effective relationships with internal/external stakeholders.
• Provides advice and on the implementation of accounting solutions and operational programs.
• Reviews supporting documentation, escalating areas of concern and making any necessary amendments.
• Coordinates and executes specific activities for the implementation of strategic initiatives; includes tracking metrics and milestones.
• Executes routine tasks (e.g. service requests, transactions, queries, etc.) within relevant service level agreements.
• Organizes work information to ensure accuracy and completeness.
• Collaborates with internal and external stakeholders to deliver on business objectives.
• Develops knowledge related to business / group accounting requirements and standards.
• Works with other data and analytics professionals to optimize, refine, automate, and scale analysis into repeatable analytics solutions and decision support tools for finance/accounting stakeholders.
• Develops ML applications, implements algorithms, and builds tools to apply ML frameworks in production-like workflows that support business processes.
• Turns unstructured data into useful information where applicable (e.g., auto-tagging documents, extracting attributes, or assisting narrative/reporting workflows).
• Focus may be on a business/group.
• Thinks creatively and proposes new solutions.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works mostly independently.
• Broader work or accountabilities may be assigned as need
• Operates with a “human-in-the-loop” mindset and responsible AI practices—AI outputs are reviewed/validated before being used for business decisions and reporting.
• Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

• Typically between 5 – 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Completed or near completion of an accounting designation is a plus
• Specialized knowledge from education and/or business experience.
• Verbal & written communication skills - In-depth.
• Collaboration & team skills - In-depth.
• Prompt writing skills
• Business use case identification
• Implement and testing ability
• Understanding of AI governance issues
• Ability to teach others AI
• Ability to use AI tools to prepare data to generate efficiencies (GitHub Co-pilot, Power Automate, Finance for Excel)
• Analytical and problem solving skills - In-depth.
• Influence skills - In-depth.

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: