Data Science Manager, Liquidity and Funding Management
BMO — Toronto, ON, CAN
Posted 2026-08-18
Application Deadline: 09/04/2026 Address: 100 King Street West Job Family Group: Data Analytics & Reporting The Data Science Manager, Liquidity & Funding Management role is an excellent opportunity for a technically strong risk modeling professional to apply advanced statistical and quantitative methods to one of banking’s most strategic and evolving disciplines. Focused on liquidity modeling, stress testing, and balance sheet risk management, this position leads the development of predictive models that help the bank understand how customers, products, and funding sources behave under stressed market conditions. Ideal candidates may come from liquidity risk, credit risk modeling, model validation, stress testing, insurance, pensions, or consulting backgrounds and possess strong Python and SQL skills, with AWS and SageMaker experience as an asset. This role offers exposure to enterprise-wide decision-making and funding strategy, making it a compelling next step for senior analysts or emerging leaders seeking broader business impact beyond traditional credit risk. Data Science Manager Corporate Treasury Liquidity and Funding Management Corporate Treasury finds the best ways for BMO