Application Deadline: 07/26/2026 Address: 33 Dundas Street West Job Family Group: Audit, Risk & Compliance #FutureofRetailLending The Manager, Lending Strategy Reporting & Insights transforms data into decision‑ready insight across the customer credit lifecycle—from acquisition and underwriting through account management, fraud, and collections—across Consumer and Business Banking credit products as well as an accountability for Credit Risk Campaign Design & Measurement 1) Analytics Engineering & Data Transformation • Use Python and SQL to transform data into reusable, analytics-ready datasets. • Understand, execute, and maintain existing SAS scripts and reporting processes. • Analyze business logic embedded in SAS programs and ensure continuity and accuracy of outputs. • Translate SAS-based logic into Python-based workflows where appropriate. • Design and enhance monitoring frameworks including automated alerts, validation controls, and data-driven indicators to ensure accuracy and reliability. • Standardize and optimize data transformations for scalability, maintainability, and reuse. • Ensure datasets are structured and optimized for efficient consumption in Power BI reporting and dashboards. 2) Governance, Risk Alignment & Controls • Use Git/GitHub for version control, collaboration, and structured code management. • Ensure proper documentation, reproducibility, and auditability of analytics and reporting processes. • Apply best practices for code quality, modularity, and reusability across Python, SAS, and Power BI assets. • Ensure alignment with enterprise data governance, risk appetite, and regulatory expectations. 3)Credit Lifecycle Analytics & Decision Support • Develop a connected lifecycle view that links acquisition risk profiles, account‑management actions (e.g., limit management, pricing, treatments), fraud signals, payment performance, and collections outcomes. • Partner with Credit Risk, Product, Marketing, Fraud, and Collections to translate insights into strategy adjustments, treatment design, champion/challenger tests, or policy changes. • Stand up monitoring for new products, policy changes, and strategy deployments to enable early feedback loops and rapid course‑correction. 4) Executive Reporting & Visualization (Power BI) • Design and develop Power BI dashboards and semantic models (Power Query, DAX) to deliver scalable, executive-ready reporting and insights. • Optimize Power BI data models and report performance for usability, scalability, and self-service analytics. • Distill complex analysis into concise narratives with a clear POV and next‑best actions; quantify expected impact and measurement plans. Must‑Have • 3+ years of progressive experience in Credit Risk, Portfolio Management, Lending, or advanced analytics across consumer and/or business credit portfolios. • Hands-on experience with: • Python (data transformation, automation) • Git/GitHub (version control, collaboration workflows) • SAS (ability to read, execute, and modify existing scripts) • Power BI (Power Query, DAX, data modeling, and dashboard development) • Demonstrated ability to translate complex data into strategic insights and influence stakeholders with concise, decision‑ready narratives. • Hands‑on expertise building monitoring frameworks, early‑warning indicators, behavioral segmentation, and performance measurement/back‑testing. • Strong stakeholder management skills, with the ability to communicate effectively, align expectations, and proactively identify and flag risks or gaps early rather than at delivery. • Strong business acumen connecting customer behavior, macro factors, operational signals, and portfolio outcomes; comfortable with trade‑off framing. • Excellent communication skills—able to brief senior audiences succinctly and coach junior analysts on storytelling with data. Nice‑to‑Have • Experience with credit decisioning strategies (e.g., limit management, pricing, treatment orchestration) and experimentation (A/B, champion/challenger). • Familiarity with model governance/model risk concepts and stress testing; experience integrating model outputs into monitoring and strategies. • Knowledge of collections operations, fraud operations, and hardship programs; exposure to macroeconomic scenario analysis. • Degree in a quantitative field (e.g., Statistics, Economics, Finance, Data Science); graduate degree an asset. 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: