Manager, Quantitative Analysis and Strategy

Application Deadline:

Address: 100 King Street West

Job Family Group:

Data Analytics & Reporting

Applies statistical modeling and analytical techniques to produce, analyze, and interpret stress testing and business-as-usual (BAU) forecast model 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.

Qualifications:

Advanced level of proficiency:

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

Salary:

$82,800.00 - $154,800.00

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 details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards