Manager, Fraud Prevention & Performance

BMO•Toronto, ON

2d•CA$69,000 - CA$129,000•Onsite

About The Position

Join a pioneering team shaping the future of Canadian Retail Credit Strategies. We’re building next-generation, end-to-end credit solutions that span the entire lifecycle—from acquisition and account management to collections—anchored in a holistic Lending Decision Strategy and aligned with Canadian Personal & Business Banking (P&BB) priorities. Our approach combines cutting-edge decisioning software, advanced decision trees, and innovative credit models to deliver smarter, faster, and more customer-centric outcomes. This is your opportunity to influence credit cycles using modern modeling techniques and best-in-class decisioning applications, all within a high-performance, customer-focused environment. If you’re passionate about leveraging data, technology, and strategy to transform lending decisions and drive meaningful impact across Canadian P&BB, this is the team for you.

Requirements

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.
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.
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.
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.
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.
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.
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.

Responsibilities

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.
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.
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.
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.
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.
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.
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.