Manager, Risk Report Development

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As a Manager, Risk Report Development, you'll combine your deep technical expertise in Python, SAS, GitHub and Git with your understanding of retail banking products and credit risk management to develop, review, and enhance sophisticated risk reporting frameworks.

This is an exciting opportunity for a hands-on developer who thrives on solving complex problems, challenging conventional approaches, and leveraging emerging technologies, including AI, to drive efficiency and continuous improvement. You'll contribute to a significant reporting modernization initiative, helping migrate a portfolio of risk reports from SAS to Python while partnering with stakeholders across Risk, Analytics, and Technology.

Success in this role requires more than strong coding skills. You'll bring a solid foundation in credit risk reporting and retail banking products, enabling you to understand the business context behind reporting logic, validate complex methodologies, and provide meaningful challenge and oversight throughout the development lifecycle.

We're looking for a curious, forward-thinking professional who takes initiative, embraces innovation, and continuously seeks better ways of working. You'll have the opportunity to influence how risk reporting is delivered by combining technical excellence, sound risk management knowledge, and the ability to translate complex concepts into clear, actionable insights for stakeholders.

If you're passionate about coding, automation, risk analytics, and modernizing reporting practices within a dynamic financial services environment, we invite you to bring your expertise and make a measurable impact.

The role is based in Toronto and operates in a hybrid model (minimum 3 days in office).

Supports the development and delivery of accurate and efficient reporting solutions for risk, regulatory and management information to internal and external stakeholders including regulatory bodies. Supports an efficient and effective risk management function which uses common information sources and practices, reduces ongoing costs, increases service level performance, and minimizes risk. The role focuses on code development, code review, and continuous improvement of reporting processes, with a strong emphasis on code quality, efficiency, and maintainability.

• Designs, develops, and implements reporting solutions by using Python, SAS, SQL and Power BI to meet management and regulatory reporting requirements.
• Performs code reviews using GitHub to ensure code quality, accuracy, efficiency, maintainability, and adherence to coding standards and best practices.
• Participates in the design, implementation, and management of core business processes to ensure the accuracy of risk data used in reporting.  Provides advice to assigned business/group on implementation of analytical and reporting solutions.
• Executes work to deliver timely, accurate, and efficient service for scheduled reporting production processes. 
• Identifies opportunities to optimize existing code, automate processes, and improve development efficiency and reporting performance.
• Explores and uses approved AI tools and emerging technologies to improve code development, code review, and team productivity, verifying generated outputs and complying with company policies.
• Analyzes data and highlights significant information including variances, trends, opportunities and exposures; escalates as required.
• Supports the maintenance of the risk reporting framework, governance and controls, and provides documentation and information for internal and external audits and regulatory examinations.
• Supports the maintenance of operational procedures and processes related to analytical and reporting processes.
• Builds effective relationships with internal/external stakeholders.
• Works independently and regularly handles non-routine situations.

• 3-5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Strong hands-on programming skills in Python, SAS, and SQL, with experience querying and processing large and complex datasets – must
• Hands-on experience using Git and GitHub for version control and code reviews.
• Experience with Power BI or other business intelligence and reporting platforms is an asset.
• Knowledge of credit risk management and retail banking products. 
• Proactive and adaptable mindset toward AI, automation, and emerging technologies; practical experience using AI-assisted development tools is an asset.
• Strong in documentation, presentation, and communication.
• In-depth knowledge of reporting & analytics concepts and applications.
• Collaboration & team skills - In-depth.
• Analytical and problem-solving skills - In-depth.
• Influence skills - In-depth.
• Data driven decision making - 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: https://jobs.bmo.com/global/en/Total-Rewards