Data Science Manager, Liquidity and Funding Management

Torontoonsitemanager$83K$155K

Posted yesterday · via Workday

About this role

Application Deadline: 07/18/2026 Address: 100 King Street West Job 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.…

Read the full description on BMO Bank N.A.'s site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, r, matlab, sql, aws…

2

Level fit

This role is manager-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Toronto. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonrmatlabsqlawspysparktableauteams

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