Senior Manager, Unsecured Lending Portfolio Management

Reposted 12 Hours Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
86K-160K Annually
Senior level
Financial Services
The Role
The Senior Manager will design and execute credit strategies for Unsecured Lending, utilizing statistical modeling and enhancing customer experiences while ensuring compliance with risk appetites and regulatory standards.
Summary Generated by Built In

Application Deadline:

08/02/2026

Address:

33 Dundas Street West

Job Family Group:

Audit, Risk & Compliance

The Senior Manager, Unsecured Lending Portfolio Management plays a critical role in designing and executing advanced credit acquisition and 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.

Key Responsibilities

  • Strategy Development & Execution
    Design and implement customer-level account management strategies using decision tree and optimization platforms, aligning actions to growth, profitability, and risk objectives.

  • Quantitative modeling & analytics (ML/statistics to decision outcomes):

  • Apply statistical and machine learning techniques to develop models and decision frameworks; run tests, conduct statistical analysis, and interpret results to drive strategy changes.

  • Create simulation/forecasting frameworks to estimate the financial and risk impacts of strategy decisions; compare realized outcomes vs. expectations and embed continuous improvement loops.

  • Model Application & Interpretation
    Act as a key model user, applying models and scores within strategy logic, ensuring proper interpretation and segmentation to differentiate risk across the portfolio.

  • Analytical Insights & Innovation
    Identify opportunities for new segmentation approaches, behavioral scores, and analytical enhancements to improve predictive power and strategy performance.

  • Champion–Challenger Testing
    Execute structured testing frameworks to evaluate and refine treatments, segmentation schemes, and decision pathways.

  • Lifecycle Strategy Support
    Contribute to strategy design for acquisition, credit limit management, exposure optimization, early warning treatments, and performance-based interventions, ensuring alignment across the customer lifecycle.

  • Technology & Deployment Partnership
    Collaborate with Technology and Analytics teams to translate strategy logic into deployable decision rules, ensuring technical feasibility and operational integrity.

  • Portfolio Monitoring & Reporting
    Deliver data-driven insights on portfolio performance and emerging trends; recommend proactive adjustments to maintain performance within risk appetite.

  • Governance & Compliance
    Ensure strategies comply with credit policy, regulatory requirements, and model governance standards, including documentation and monitoring.

Qualifications & Experience

  • 7+ years of experience in Credit Card/Personal Unsecured lending products and/or Unsecured Lending acquisition and account management strategy.

  • Graduate degree in a quantitative discipline (Statistics, Mathematics, Actuarial Science, Engineering, Finance, Economics, or related field).

  • Strong understanding of credit risk concepts and practical experience as a model user.

  • Strong understanding of credit lifecycle economics, ROE drivers, and risk‑return optimization principles.

  • Proven expertise in applying machine learning and data science techniques to develop and optimize credit risk strategies, ensuring statistical robustness, stability, and alignment with business objectives

  • Proficiency with decision engines, decision tree software, and analytical platforms (e.g., Python, FICO, SAS, SQL, ML scoring systems) ; ability to translate complex analysis for senior audiences.

  • 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.

  • Strong communication, influencing, and stakeholder management skills; able to operate autonomously in a fast‑paced environment.

Salary:

$86,000.00 - $160,000.00

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.

Skills Required

  • 7+ years of experience in Credit Card/Personal Unsecured lending products and/or Unsecured Lending acquisition and account management strategy
  • Graduate degree in a quantitative discipline (Statistics, Mathematics, Actuarial Science, Engineering, Finance, Economics, or related field)
  • Strong understanding of credit risk concepts and practical experience as a model user
  • Strong understanding of credit lifecycle economics, ROE drivers, and risk‑return optimization principles
  • Proven expertise in applying machine learning and data science techniques to develop and optimize credit risk strategies
  • Proficiency with decision engines and analytical platforms
  • 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

BMO Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BMO and has not been reviewed or approved by BMO.

  • Parental & Family Support Paid parental leave up to 16 weeks at full pay for all new parents, plus up to $20,000 for adoption, surrogacy, and fertility, and 10 days of paid backup childcare indicate robust family support. These elements stand out within BMO’s U.S. package.
  • Retirement Support A 401(k) design combining a core employer contribution with dollar-for-dollar matching up to a set portion of pay, plus immediate vesting on match and employee contributions, signals strong retirement funding. The core contribution’s three-year vesting is clearly defined.
  • Leave & Time Off Breadth Vacation accrual scales with grade and service, alongside 9–10 paid holidays and additional paid time off buckets (bereavement, school activities, civic duties, blood donation, volunteering). This breadth offers multiple avenues for time away beyond standard vacation.

BMO Insights

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The Company
HQ: Toronto, Ontario
51,885 Employees

What We Do

At BMO, banking is our personal commitment to helping people at every stage of their financial lives. The truth is, people’s needs change: so we change too. But we never change who we are. Which means we’ll never waiver from providing our customers the best possible banking experience in the industry. Our incredible team of over 46,000 people is just the tip of the iceberg. You should get to know us. We’re here to help.

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