Senior Manager, Lending Portfolio Management – Acquisition Strategies

BMOToronto, ON
CA$86,000 - CA$160,000Onsite

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. The Senior Manager, Lending Portfolio Management plays a critical role in designing and executing advanced credit account management strategies across Credit Card and Unsecured Lending portfolios. This position combines strategic thinking with hands-on analytical execution to deliver solutions that drive profitable growth, enhance customer experience, and maintain portfolio resilience within the organization’s risk appetite. Working closely with cross-functional partners in Product, Risk, Technology, Analytics, and Operations, the Senior Manager develops scalable, automated strategies leveraging decision tree technologies, machine learning-enabled models, and optimization tools. This role ensures strategies evolve with customer behavior and market dynamics while adhering to governance and regulatory standards.

Requirements

  • 5 to 7+ years of experience in Credit Card and/or Unsecured Lending account management or lifecycle strategy.
  • Strong understanding of credit risk concepts and practical experience as a model user.
  • Proficiency with decision engines, decision tree software, and analytical platforms (e.g., FICO, SAS, ML scoring systems).
  • Demonstrated ability to translate analytical insights into executable strategies.
  • Experience managing cross-functional projects and influencing stakeholders.
  • Familiarity with credit policy, regulatory frameworks, and model governance.
  • Commitment to innovation, experimentation, and continuous improvement.

Responsibilities

  • Design and implement customer-level account management strategies using decision tree and optimization platforms, aligning actions to growth, profitability, and risk objectives.
  • Act as a key model user, applying models and scores within strategy logic, ensuring proper interpretation and segmentation to differentiate risk across the portfolio.
  • Identify opportunities for new segmentation approaches, behavioral scores, and analytical enhancements to improve predictive power and strategy performance.
  • Execute structured testing frameworks to evaluate and refine treatments, segmentation schemes, and decision pathways.
  • Contribute to strategy design for credit limit management, exposure optimization, early warning treatments, and performance-based interventions, ensuring alignment across the customer lifecycle.
  • Collaborate with Technology and Analytics teams to translate strategy logic into deployable decision rules, ensuring technical feasibility and operational integrity.
  • Deliver data-driven insights on portfolio performance and emerging trends; recommend proactive adjustments to maintain performance within risk appetite.
  • Ensure strategies comply with credit policy, regulatory requirements, and model governance standards, including documentation and monitoring.

Benefits

  • health insurance
  • tuition reimbursement
  • accident and life insurance
  • retirement savings plans
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