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Added 8 mins ago
AI
Accounts Payable Manager
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Montreal, QC
- Full-time
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Added 8 mins ago
Associate Brand Manager
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Manager of AMO (QA) - MC2
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ES
Senior Business Analyst
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Added 23 mins ago
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Added 36 mins ago
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Senior Manager, Human Resources - North America Commercial Teams (18-month Contract Role)
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Added 36 mins ago
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Added 53 mins ago
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Added 1 hour ago
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CEO/General Manager
Federated Co-operatives Limited
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Added 1 hour ago
Senior Application System Analyst
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Added 1 hour ago
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Onepoint
Ottawa, ON · Montreal, QC
- Full-time
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Added 1 hour ago
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Senior Organizational Change Management Specialist – AI Transformation
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- Full-time
We are seeking a Senior Organizational Change Management Specialist – AI Transformation to join our team.
Added 1 hour ago
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Senior Buyer
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Added 1 hour ago
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Senior Manager, Access to Information and Privacy (ATIP) - (ATIP Coordinator)
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Added 2 hours ago
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Added 2 hours ago
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Added 2 hours ago
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Le ou la Gestionnaire senior·e de la réussite client agit à titre de conseiller·ère de confiance et de responsable commercial·e pour un portefeuille de comptes stratégiques chez Power…
Added 2 hours ago
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BMO

Manager, Credit Risk Model Validation

Toronto, ON, Canada
FCP, Canada

$70,000.00 - $150,000.00 · Full-time

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Job details

Pay: $70,000.00 - $150,000.00
Job type: Full-time
Apply by: Nov 2, 2026
Experience: A minimum of 4 years of experience in model validation and/or development within a financial institution, particularly in the credit risk area.
Posting language: English
Posted: Oct 8, 2026

Original job description

Application Deadline:

11/01/2026

Address:

100 King Street West

Job Family Group:

Audit, Risk & Compliance

Seeking a skilled and experienced professional to join our Model Risk Management Team as a Manager, Model Risk, Credit Risk. As a manager in our second line of defense risk management, governance, and control function, you will play a pivotal role in the validation of credit risk models, such as Allowance (IFRS 9 /CECL/loss forecasting) models, Stress Testing (CCAR/EWST), Climate Risk models and other initiatives. Other activities related to the model lifecycle such as model performance monitoring, annual reviews, assessment of overlay quantification are also part of the validation responsibilities. Experience in other credit risk families, such as credit adjudication and account management models, is also relevant. This is an individual contributor role.

Note- We welcome applications from Senior Analyst candidates with fewer years of experience, provided they have a strong technical background and experience that is closely aligned with the role

Key Role Responsibilities:

Model Risk Review and Effective Challenge: You perform the validation of models, other estimation approaches and critical tool calculators and assess the model risk to confirm model appropriateness and capability for a designated portfolio. You are responsible for providing effective challenge to the credit risk models during model development and communicating decisions regarding model use to the business to ensure transparency and understanding of models and model risks. You assess the models’ capabilities, stress points and limitations; you assess the associated model risk and the controls in place to mitigate identified risks.
Stakeholder Engagement: Effective communication is crucial in this role. You will manage relationships with model developers, owners, and users, influencing and advising on model risk-related matters. Your ability to explain complex technical concepts in everyday language will set you apart.
Change Management: BMO is at the forefront of innovation in model risk management. You will be part of the team that drives change by embracing new technology platforms, tools, and operating models.
Regulatory Expertise: Acts as a subject matter expert on relevant regulations and policies. May network with industry contacts to gain competitive insights and best practices. Interprets new regulations and assesses impacts to the program / portfolio validation framework.
Risk Understanding: You will need to connect the dots between technical issues and business considerations.

Serve as a trusted advisor to business partners, influencing stakeholders and supporting strategic planning and decision-making.
Lead the development, execution, and enhancement of the model validation framework, methodologies, and validation strategies.
Independently validate models, assumptions, data, methodologies, benchmarks, and supporting documentation to assess model effectiveness and compliance.
Identify, quantify, document, and escalate model risks, deficiencies, and required corrective actions while monitoring remediation efforts.
Research emerging trends, regulatory requirements, and industry best practices to strengthen model risk management and governance.
Provide expert consulting and technical guidance on model validation, risk management, and framework implementation.
Lead validation-related initiatives, change management activities, process improvements, and operational programs across the portfolio.
Represent the model validation function during internal audits, regulatory examinations, and stakeholder reviews.
Develop, monitor, and report on model validation portfolio performance, model inventory, attestations, and governance outcomes.
Build and maintain strong stakeholder relationships, ensuring alignment, effective communication, and successful delivery of strategic objectives.

Qualifications:

A MSc or PhD in quantitative fields such as statistics, applied mathematics, financial mathematics, data science, actuarial sciences, electrical engineering, or related fields.
A minimum of 4 years of experience in model validation and/or development within a financial institution, particularly in the credit risk area.
Certifications: While qualifications like CFA are helpful, they are not mandatory.
Experience in credit risk models, including Stress Testing & loss forecasting, AIRB and Adjudication/Account Management.
Proficiency in a programming language such as Python, R, and SAS (Python is preferred).
Proficiency in working with relational databases – SQL or Oracle.
Working with Big data tools and Cloud platforms (AWS/Azure) is a plus.
A can-do attitude and a research, deep-dive mindset.

Our team values flexibility, collaboration and in-person engagement. This position is located in Toronto and offers flexibility with a hybrid work arrangement, where the successful candidate will spend at least 3 days per week on-site.

Salary:

$70,000.00 - $150,000.00

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.

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More about this job

Responsibilities

The manager will lead the validation of credit risk models, including stress testing and climate risk initiatives, while providing effective challenge to model development. They will also manage stakeholder relationships, ensure regulatory compliance, and drive improvements in the model validation framework.

Requirements

Candidates must hold a MSc or PhD in a quantitative field and possess at least 4 years of experience in model validation or development within a financial institution. Proficiency in programming languages like Python, R, or SAS and experience with relational databases are required.

Skills

Credit risk modeling
Model validation
IFRS 9
CECL
Stress testing
Climate risk
Python
R
SAS
SQL
Oracle
Risk management
Data analysis
Regulatory compliance
Stakeholder engagement
Financial modeling

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Credit Risk
Model Validation
IFRS 9
CECL
Stress Testing
CCAR
Climate Risk
Python
R
SAS
SQL
Oracle
AWS
Azure
Risk Management
Governance
Quantitative Analysis
Data Science
Actuarial Science
Financial Mathematics
Model Lifecycle
Regulatory Compliance
Change Management
AIRB
Big Data

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