Apply SAS and Python expertise in a hybrid Data Scientist assignment based downtown in Toronto. Translate critical financial models accurately.
This six-month assignment focuses on migrating SAS scripts into Python for IFRS9 Model, Risk Campaigns, and Reporting and Analytics deliverables. You will validate functional equivalence, improve performance, and support maintainable Python development. Advanced statistical modelling and data mining are central to the work.
Key Responsibilities: Translate existing SAS scripts into Python for critical deliverables
Run SAS and Python processes simultaneously to validate outputs
Analyze complex datasets using data mining and statistical modelling
Document data lineage, transformations, origins, and movement




Train permanent staff for ongoing sustainment
Requirements: Five to nine years in SAS and data migration
Advanced SAS and Python expertise with migration experience
Proficiency in data profiling, validation, and quality assurance
Understanding of IFRS9 modelling and credit risk analytics
Bachelor's degree; master's or equivalent statistical background preferred
Bring SAS-to-Python migration, parallel validation, and IFRS9 analytics expertise to this Toronto financial institution assignment.

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📌 SAS to Python Migration Data Scientist (Ontario)
🏢 FP
📍 Ontario