Application Deadline:

08/14/2026

Address:
55 Bloor Street West

Job Family Group:

Audit, Risk & Compliance

The Manager, Fraud Prevention & Performance supports the development and execution of fraud related strategies for Canadian Personal & Business Banking (CAN P&BB). This role contributes to building forward-looking fraud prevention, detection, and risk decisioning capabilities by partnering closely with Enterprise Fraud, Credit Strategy, Credit Bureau partners, Technology, and internal business stakeholders.

As a key model user, the Manager helps inform how fraud models, scores, bureau attributes, and analytical signals are utilized across the credit lifecycle. The role ensures business strategies effectively leverage enterprise tools, meet performance objectives, and operate within P&BB's risk appetite.

The Manager also contributes to analytical insights, early detection, emerging risk assessments, and business driven fraud initiatives, helping balance customer experience, operational effectiveness, and enterprise alignment.

Key Responsibilities

Business Line Strategy Support & Execution
• Support the development and execution of the CAN P&BB fraud prevention and performance strategy, ensuring alignment to business objectives and risk appetite.
• Translate enterprise fraud capabilities into practical business applications, ensuring P&BB requirements and impacts are well understood.
• Collaborate with Enterprise Fraud to support alignment on priorities, emerging risks, and strategy refinements.

Partnership With Enterprise Fraud, Credit Strategy & Bureau Partners
• Work closely with Enterprise Fraud Management (EFM) to support strategy development, control calibration, and emerging risk management.
• Partner with Lending Management teams to embed fraud controls and risk differentiation across acquisition, account management, and collections.
• Support relationships with credit bureau partners to enhance use of bureau based fraud tools, identity verification technologies, and fraud specific signals.
• Act as a liaison ensuring coordination between EFM, P&BB Strategy, and bureau partners.

Model Use & Analytical Signal Optimization
• Act as a key model user of fraud related scores, bureau attributes, internal fraud models, and early warning indicators.
• Provide input into model usage, thresholds, and calibration to optimize decision flows across the lifecycle.
• Identify opportunities to apply new analytical tools, bureau scores, challenger models, or alternative data to improve detection accuracy and reduce false positives.
• Support monitoring of model performance and collaborate with Enterprise Fraud and modeling teams on enhancements or redevelopment.

Fraud Detection, Taxonomy & Emerging Risk Insights
• Monitor emerging fraud trends using internal data, bureau insights, and intelligence from Enterprise Fraud.
• Maintain and refine business aligned fraud taxonomy, tagging criteria, and reporting structures to improve insight generation.
• Conduct analytical assessments to identify vulnerabilities, gaps, and process risks across the P&BB footprint.

Lifecycle Integration & Operational Effectiveness
• Collaborate with Acquisition, Account Management, Collections, and Operations teams to integrate fraud controls without compromising customer experience.
• Partner with Technology and vendor teams to support implementation of modern fraud mitigation tools and decisioning capabilities.
• Identify operational, workflow, and data improvements to enhance fraud related processes.

Governance, Oversight & Regulatory Compliance
• Ensure fraud strategy changes follow appropriate review, challenge, and approval processes in partnership with 2LOD.
• Support fraud risk assessments for new products, channels, and processes.
• Represent P&BB in relevant forums by providing insights on emerging risks, business impacts, and potential mitigation actions.

Leadership, Culture & Talent Development
• Lead a team of fraud strategy analysts and professionals, fostering strong analytical and business capabilities.
• Promote a culture of proactive risk management, innovation, teamwork, and inclusion.
• Coach team members to build expertise in fraud analytics, model use, reporting, and business strategy.

Qualifications:

Typically between 3-5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Verbal & written communication skills - Expert
• SAS or SQL - Expert
• Collaboration & team skills - Expert
• Storyboarding, insight development and reporting - Expert
• Analytical and problem solving skills - Expert
• Data driven decision making - In-depth/Expert

#FutureOfRetailLending

Salary:

$69,000.00 - $129,000.00

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