Manager, Lending Strategy Reporting & Insights
Core
Transform data into decision-ready insights across the customer credit lifecycle (acquisition, underwriting, account management, fraud, collections) to influence credit cycles and drive strategy adjustments for Canadian Personal & Business Banking.
Role type
Manager, Lending Strategy Reporting & Insights
Builds
Analytics-ready datasets, monitoring frameworks, executive dashboards, and strategic insights for credit risk campaigns.
Domain
Canadian Retail Banking / Credit Risk & Analytics
Deliverable
production ML models | dashboards & analysis | client delivery
Required skills
Python (data transformation, automation), SQL, SAS (script execution/modification), Power BI (Power Query, DAX, data modeling), Git/GitHub, credit lifecycle analytics, behavioral segmentation, performance measurement/back-testing
Preferred skills
credit decisioning strategies, experimentation (A/B, champion/challenger), model governance, stress testing, collections operations, fraud operations, macroeconomic scenario analysis
Technologies
Python, SQL, SAS, Power BI, Git, GitHub
Responsibilities
Transform data into reusable analytics-ready datasets; maintain and translate SAS scripts to Python; design monitoring frameworks with automated alerts; develop Power BI dashboards and semantic models; partner with Credit Risk, Product, and Marketing to translate insights into strategy adjustments; stand up monitoring for new products and policy changes.
Seniority
Manager, hands-on IC with strategic influence
