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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:
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: https://jobs.bmo.com/global/en/Total-Rewards
About Us
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/ca/en.
BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.
Skills Required
- 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
- 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
BMO Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BMO and has not been reviewed or approved by BMO.
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Parental & Family Support — Paid parental leave up to 16 weeks at full pay for all new parents, plus up to $20,000 for adoption, surrogacy, and fertility, and 10 days of paid backup childcare indicate robust family support. These elements stand out within BMO’s U.S. package.
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Retirement Support — A 401(k) design combining a core employer contribution with dollar-for-dollar matching up to a set portion of pay, plus immediate vesting on match and employee contributions, signals strong retirement funding. The core contribution’s three-year vesting is clearly defined.
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Leave & Time Off Breadth — Vacation accrual scales with grade and service, alongside 9–10 paid holidays and additional paid time off buckets (bereavement, school activities, civic duties, blood donation, volunteering). This breadth offers multiple avenues for time away beyond standard vacation.
BMO Insights
What We Do
At BMO, banking is our personal commitment to helping people at every stage of their financial lives. The truth is, people’s needs change: so we change too. But we never change who we are. Which means we’ll never waiver from providing our customers the best possible banking experience in the industry. Our incredible team of over 46,000 people is just the tip of the iceberg. You should get to know us. We’re here to help.


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