Model Risk Specialist - Fraud Model Validation
- Toronto, ON, Canada
- FCP, Canada
$55,500.00 - $120,000.00 · Full-time
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Job details
- Pay
- $55,500.00 - $120,000.00
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
Application Deadline:
11/08/2026Address:
100 King Street WestJob Family Group:
Audit, Risk & ComplianceBring your quantitative expertise to one of the most critical areas of risk management and business decision-making. In this role, you'll validate and challenge models that support fraud detection, anti-money laundering (AML) risk management, and marketing strategy initiatives across the bank. You'll apply statistical, machine learning, and analytical techniques to assess model performance, identify risks and limitations, and provide independent oversight that helps drive sound, data-driven decisions. Working closely with model developers, business stakeholders, and risk partners, you'll play a key role in strengthening model governance, advancing model risk management practices, and ensuring models are fit for purpose, transparent, and appropriately managed throughout their lifecycle.
Performs validation of models and assesses model risk to confirm model appropriateness and capability for a designated portfolio. Provides effective challenge during model development and communicates decisions regarding model use to the business to ensure transparency and understanding of models and model risks. Assesses model’s capabilities, stress points and limitations; assesses the associated model risk and the controls in place to mitigate identified risks.
- Shares technical knowledge of models and validation strategies with team members and stakeholders.
- Supports development and execution of strategic initiatives in collaboration with internal and external stakeholders.
- Breaks down strategic problems, and analyses data and information to provide insights and recommendations.
- Troubleshoots model validation issues with team members and stakeholders.
- Leads or assists with the maintenance, monitoring, measurement & reporting on the status of the model validation portfolio / program to various internal & external stakeholder audiences.
- Supports the development and promotion of a business/group program for model validation.
- Develops validation strategies and plans to ensure appropriate type and level of vetting of models is carried out.
- Independently validates / tests models and their associated assumptions, benchmarks, and supporting documentation against model vesting process, standards, guidelines and principles; assesses the data for model development as well as inputs to the model; compares validation results with model developer results for replicability.
- Identifies deficiencies, conditions for model use, recommends changes, and escalates as required; quantifies model risks, documents outcomes and communicates with stakeholders.
- Identifies where corrective actions are required and escalates per guidelines; monitors and ensures corrective action is taken.
- Provides technical advice and guidance to assigned business/group on implementation of the model vetting framework, and resolution of model risk issues.
- Develops and maintains in-depth knowledge of business and related risk management requirements and legislative/ regulatory directives and guidance.
- Builds effective relationships with internal/external stakeholders.
- Ensures alignment between stakeholders.
- Monitors and tracks performance; addresses any issues.
- Coordinates and monitors the review and sign-off of model validation reporting including model inventory and model inventory attestations.
- Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
- Exercises judgment to identify, diagnose, and solve problems within given rules.
- Works independently on a range of complex tasks, which may include unique situations.
- Broader work or accountabilities may be assigned as needed.
Qualifications:
- Typically between 1-3 years of relevant experience and a Master's degree in Statistics, Mathematics, Data Science, Machine Learning, Computer Science, Engineering, Economics, or a related quantitative discipline, with a foundation in statistical analysis, modeling, and data-driven problem solving, or an equivalent combination of education and experience.
- Knowledge and understanding of the model life cycle, model risk management practices.
- In-depth knowledge & experience with risk policy frameworks; quality control / testing frameworks.
- Technical proficiency gained through education and/or business experience.
- Verbal & written communication skills - In-depth.
- Collaboration & team skills - In-depth.
- Analytical and problem solving skills - In-depth.
- Influence skills - In-depth.
- Data driven decision making - In-depth.
Salary:
$55,500.00 - $120,000.00Pay Type:
SalariedThe 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.
More about this job
Responsibilities
The specialist will validate and challenge models supporting fraud detection, AML, and marketing strategies to ensure they are fit for purpose. They will also provide independent oversight, assess model risks and limitations, and communicate findings to business stakeholders.
Requirements
Candidates must have a Master's degree in a quantitative discipline such as Statistics, Mathematics, or Data Science, along with 1-3 years of relevant experience. Strong technical proficiency in model risk management and excellent analytical and communication skills are required.
Skills
- Statistical analysis
- Machine learning
- Model validation
- Risk management
- Data-driven decision making
- Analytical skills
- Problem solving
- Communication skills
- Collaboration
- Model governance
- Fraud detection
- Anti-money laundering
- Regulatory compliance
- Stress testing
- Technical documentation
- Influence
Benefits
- Health insurance
- Tuition reimbursement
- Accident insurance
- Life insurance
- Retirement savings plans
Visa sponsorship
Not detected in the job text
Categories
- Finance & Accounting
- Data & Analytics
- Management & Leadership
- Technology
Keywords
- Model Risk Management
- Fraud Detection
- Anti-Money Laundering
- Statistical Analysis
- Machine Learning
- Model Validation
- Risk Policy
- Data Science
- Quantitative Analysis
- Model Governance
- Stress Testing
- Regulatory Compliance
- Data-Driven Decision Making
- Financial Services
- BMO Financial Group
- Model Lifecycle
- Quality Control
- Testing Frameworks
- Reporting
- Stakeholder Management