Senior manager, provisioning methodology & insights

BMO Financial Group; Toronto; On-site; CAD 103,000 - 192,000; Full time

Job summary

A leading financial institution is seeking a Sr. Manager for Provisioning Methodology & Insights in Toronto, Ontario. This role involves developing advanced models to forecast aged defaults and insolvency losses, mentoring junior analysts, and collaborating with cross-functional teams for effective risk management. The ideal candidate has 5-7 years of experience in credit risk modeling and expertise in statistical techniques. Competitive salary range from CAD 103,200 to CAD 192,000.

Benefits

Health insurance

Tuition reimbursement

Retirement savings plans

Performance-based incentives

Qualifications

• 5-7 years of experience in credit risk modeling and analytics.
• Proven ability to drive innovation in risk modeling and provisioning methodologies.
• Experience building and validating credit risk models (PD, LGD, EAD) and loss forecasting tools.

Responsibilities

• Design and implement advanced statistical models to forecast aged defaults.
• Refine and operationalize provisioning methodologies.
• Monitor risk transformation to detect early warning signals.

Skills

Proficiency in SAS

Proficiency in Python

Experience in credit risk modeling

Strong analytical thinking

Excellent communication skills

Familiarity with Retail Banking Products

Education

Bachelor's degree in a quantitative field

Tools

Spark

MAP

Job description

Application Deadline:

10/24/2025

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

Sr. Manager, Provisioning Methodology & Insights

We are transforming the way North American Retail Risk approaches loss forecasting and provisioning. AsSr. Manager, Provisioning Methodology & Insights, you will leverage5–7 years of experiencein credit risk modeling and analytics to lead the development and implementation of advanced models focused onaged defaultsandinsolvency, directly supportingPCL (Provision for Credit Losses) calculationsand enablingearly signing insights for the Credit Strategy Team.

Key Responsibilities:

• Model Development & Forecasting
  • Design and implement advanced statistical and machine learning models to forecastaged defaultsandinsolvency lossesacross retail portfolios (e.g., cards, mortgages, small business banking).
  • Refine and operationalize provisioning methodologies to align with evolving regulatory and strategic requirements.
  • Develop scenario-based insolvency /aged models to support readiness for financial disaster recovery planning.
• Performance Metrics & Feature Analysis
  • Create and maintain performance metrics to monitor model accuracy, stability, and business impact.
  • Conduct feature importance analysis to identify early indicators of default and insolvency, enabling proactive risk mitigation to minimize future loss.
  • Collaborate with the Credit strategy team to translate analytical insights into actionable strategies.
• Risk Insights & Portfolio Monitoring
  • Monitor risk transformation across segments to detect early warning signals for aged defaults and insolvency.
  • Develop tools and dashboards to visualize risk trends and support decision-making.
  • Apply deep knowledge of risk assessment and controls to design metrics that minimize PCL exposure.
• Documentation & Governance
  • Document model development processes, assumptions, and validation results to ensure transparency and audit readiness.
  • Partner with modeling and finance teams to ensure alignment with enterprise-wide risk and finance strategies.
• Leadership & Collaboration
  • Champion a collaborative, agile working culture across cross-functional teams.
  • Mentor junior analysts and contribute to a high-performance modeling environment.

Qualifications:

• Technical Skills
  • Proficiency inSAS,Python,MAP, andSparkfor big data processing.
  • Strong foundation intraditional statisticsandadvanced machine learningtechniques.
  • Experience building and validating credit risk models (PD, LGD, EAD) and loss forecasting tools.
• Analytical & Communication Skills
  • Strong analytical thinking with the ability to translate complex data into actionable insights.
  • Excellent verbal and written communication skills, with a focus on cross-group collaboration.
• Strategic Mindset
  • Proven ability to drive innovation in risk modeling and provisioning methodologies.
  • Experience working in fast-paced environments with evolving priorities.
• Domain Knowledge
  • Familiarity with Retail Banking Products and the customer behaviours that surround them
  • Familiarity with the credit management landscape and how strategies get formulated

Salary :

$103,200.00 - $192,000.00

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 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.