Manager, Quantitative Analysis and Strategy

BMO•Toronto, ON

1d•CA$82,800 - CA$154,800

About The Position

This role applies statistical modeling and analytical techniques to produce, analyze, and interpret stress testing and business-as-usual (BAU) forecast models across key banking portfolios. The position supports the end-to-end forecasting process, including data preparation, model execution, and reconciliation to ensure accuracy, consistency, and timeliness of results. It involves developing and enhancing forecasting frameworks and analytical processes to support evolving business and regulatory requirements. The role leverages programming tools (e.g., Python, SQL) to automate data processing, streamline forecast production, and improve analytical efficiency. It also utilizes appropriate statistical and machine learning techniques, where relevant, to enhance model performance, validate results, or explore alternative modeling approaches. Collaboration with business partners (e.g., Treasury, FPM, Lines of Business) and other analytics teams is key to supporting data-driven decision making and forecast development. The role translates macroeconomic scenarios (e.g., interest rates, GDP, unemployment) into portfolio-level impacts and provides insights into key risk drivers. It supports the delivery of stress testing exercises (e.g., EWST, CCAR, internal stress tests), including coordination of timelines, preparation of forecast outputs, and development of supporting materials. The position develops and maintains data workflows, tools, and controls to support forecast production, reporting, and reconciliation processes. It applies best practices in coding, documentation, and version control to ensure robustness and reproducibility of analytical outputs. Collaboration with model development, data, and validation teams ensures alignment on modeling approaches and assumptions. The role supports model governance activities, including documentation, validation reviews, audit requests, and ongoing performance monitoring. Finally, it fosters a culture aligned to BMO purpose, values, and strategy and role models BMO values and behaviors in all that they do, ensuring alignment between values and behaviors that fosters diversity and inclusion. The role regularly connects work to BMO’s purpose and ensures accountability for delivery.

Requirements

Advanced degree in Statistics, Economics, Finance, Applied Mathematics, or related quantitative field
3+ years of experience in forecasting, stress testing, or quantitative analytics within financial services
Strong knowledge of statistical models, machine learning models, econometric techniques, and balance forecasting methodologies
Knowledge of banking and financial products
Proficient in Python and SQL, with strong capabilities in data analysis, data engineering, and model development
Highly analytical, technically proficient, and able to learn new tools and models quickly.
Experience with reporting and visualization tools such as Power BI
Strong communication skills with the ability to translate technical analysis into business insights
Self-driven problem solver, detail-oriented, able to operate in a dynamic, deadline-driven environment
Collaboration & team skills, with a focus on cross-functional coordination

Responsibilities

Applies statistical modeling and analytical techniques to produce, analyze, and interpret stress testing and business-as-usual (BAU) forecast models across key banking portfolios.
Supports the end-to-end forecasting process, including data preparation, model execution and reconciliation to ensure accuracy, consistency, and timeliness of results.
Develop and enhance forecasting frameworks and analytical processes to support evolving business and regulatory requirements.
Leverages programming tools (e.g., Python, SQL) to automate data processing, streamline forecast production, and improve analytical efficiency.
Utilizes appropriate statistical and machine learning techniques, where relevant, to enhance model performance, validate results, or explore alternative modeling approaches.
Collaborates with business partners (e.g., Treasury, FPM, Lines of Business) and other analytics teams to support data-driven decision making and forecast development.
Translates macroeconomic scenarios (e.g., interest rates, GDP, unemployment) into portfolio-level impacts and provides insights into key risk drivers.
Supports the delivery of stress testing exercises (e.g., EWST, CCAR, internal stress tests), including coordination of timelines, preparation of forecast outputs, and development of supporting materials.
Develops and maintains data workflows, tools, and controls to support forecast production, reporting, and reconciliation processes.
Applies best practices in coding, documentation, and version control to ensure robustness and reproducibility of analytical outputs.
Collaborates with model development, data, and validation teams to ensure alignment on modeling approaches and assumptions.
Supports model governance activities, including documentation, validation reviews, audit requests, and ongoing performance monitoring.
Fosters a culture aligned to BMO purpose, values, and strategy and role models BMO values and behaviors in all that they do.
Ensures alignment between values and behaviors that fosters diversity and inclusion.
Regularly connects work to BMO’s purpose and ensures accountability for delivery.