Staff Machine Learning Engineer, Financial Connections
- Employment type
- Full-time · On-site
- Posted
- September 14, 2026
- NOC code
- 21211 — Data scientists
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 22/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21211 — Data scientists. Stripe is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Data Scientist in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
21211 — Data scientists. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
A master's or bachelor's degree in a quantitative field, plus Python or R, statistical modelling and experience shipping models to production.
Licensing: No licence or registration is required.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Machine Learning
- Python
- Data Engineering
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What you'll do
- Build and optimize ML systems that transform raw financial data into actionable insights
- Design and implement machine learning models for account verification and risk assessment
- Scale ML systems to handle thousands of financial institution connections
- Mentor and lead junior engineers on the team
- Collaborate with cross-functional teams to deliver high-quality enriched bank data
- Improve data quality and model performance across the platform
What you'll need
- Extensive experience building machine learning systems in production
- Strong understanding of financial services and open banking
- Proficiency in Python and SQL
- Experience with large-scale data processing
- Demonstrated impact in previous roles
- Strong system design and architecture skills