Manager - Lending Strategy
Core
Develop advanced analytical, machine learning, and AI-enabled capabilities to improve strategy effectiveness across Credit Cards and Personal Lending portfolios.
Role type
Manager, Unsecured Lending & Strategy Optimization
Builds
Customer-level lending strategies, decision frameworks, and predictive models for acquisition, account management, and portfolio performance.
Domain
Canadian Retail Banking / Unsecured Lending / Credit Risk
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Machine learning, statistical modeling, AI/Generative AI, feature engineering, decision tree design, optimization, simulation/forecasting, Python, SQL, SAS, unsecured lending economics, model governance
Preferred skills
Large-scale structured/unstructured data mining, NLP, cloud-based analytics tools, data visualization platforms
Technologies
Python, SQL, SAS, machine learning libraries, cloud-based analytics tools, data visualization platforms
Responsibilities
Develop and apply ML/AI models to improve strategy decision-making; mine data to identify predictive variables and early warning indicators; design feature engineering approaches for segmentation and pricing; build predictive frameworks for customer response and profitability; execute Champion-Challenger testing frameworks; translate strategy logic into deployable decision rules; ensure alignment with credit policy and regulatory requirements.
Seniority
Manager, hands-on IC with strategic influence
