Final date to receive applications:
03/17/2026Address:
100 King Street WestJob Family Group:
Data Analytics & Reporting If you are passionate about banking and eager to dive deep into data, this role is a rare opportunity. It’s one of the few positions where you can work with data across every product in the bank; giving you unmatched exposure to how all parts of the business operate. You will work hands‑on with large, complex datasets, build technical strength in tools like PySpark, Python & AWS, and learn directly from senior team members who are experts in their field.If you want to understand how a bank truly moves, grows, and functions through its data, this team offers incredible learning, mentorship, and career‑shaping experience.
Data Science Manager Corporate Treasury Liquidity and Funding Management
Corporate Treasury finds the best ways for BMO to deploy its financial resources within regulatory guidelines and the Enterprise’s risk appetite. The Treasury function plays a key role in the management of the bank’s liquidity, funding, capital, and allocation of financial resources to align with the bank’s overall strategy and to ensure the bank is resilient in its ability to carry out its activities.
Treasury teams are strategically focused, have a collaborative nature and possess strong problem-solving skills.
Liquidity and Funding Management within Corporate Treasury leverages big data platforms to measure, analyze and oversee the Bank’s internal and regulatory liquidity and funding risks that arise from global business activities; and make recommendations to improve the use of financial resources.
Data Science Manager in Liquidity and Funding Management plays a critical role to promote data driven decision making while collaborating with liquidity risk experts and business partners to leverage BMO’s enterprise database and create insightful funding and liquidity analytics and reports.
The candidate is part of a team that is accountable for the quantitative measurement and analysis of the bank’s liquidity and funding risks that arise from global business activities through the development of quantitative and stress testing models. This involves utilizing the latest modeling methodologies and applying those methodologies to build robust risk models to support Corporate Treasury’s liquidity risk framework and business decisions.
Key responsibilities and requirements include
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