Data Scientist, SAS-to-Python Migration
- Toronto, ON, Canada
Pay Rate: $71.76/hr - $84.73/hr · Full-time
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Job details
- Pay
- Pay Rate: $71.76/hr - $84.73/hr
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
- Location: Toronto, ON - Hybrid (Minimum 4 days a week onsite, 1 day is remote)
- Pay Rate: $71.76/hr - $84.73/hr
- Contract Length: 6 Months with possibility for extension
Responsibilities
- Code Conversion: Translate existing SAS scripts into Python for critical deliverables including IFRS9 Model, Risk Campaigns, and Reporting and Analytics. Ensure logic accuracy and functional equivalence, optimizing code for performance and maintainability in the Python environment
- Parallel Validation: Execute simultaneous runs of legacy SAS and new Python processes to verify identical outputs and mitigate transition risks.
- Data Mining & Statistical Modeling: Leverage advanced data mining techniques and statistical modeling methodologies to extract, analyze, and validate complex datasets within the IFRS9 and Risk Management domains
- Data Lineage & Compliance: Create comprehensive data dictionary and establish end-to-end data lineage, documenting data origin, transformation, and movement throughout its lifecycle to support regulatory compliance and auditability.
- Training and Knowledge Transfer: Conduct structured training sessions with permanent staff to ensure seamless sustainment.
- 5 – 9 years of experience in SAS migration, data migration, with preference for candidates from financial institutions.
- Advanced SAS and Python expertise, with proven SAS-to-Python migration experience
- Proficiency in data profiling, validation, and quality assurance
- Data lineage mapping and data dictionary development expertise
- Strong understanding of IFRS9 modeling and credit risk analytics
- Parallel testing and validation capabilities
- Bachelor’s Degree
- Master’s degree or equivalent in statistical background (strongly preferred)
- Financial institution/Banking background is preferred.
- Strong experience in Credit Risk Management
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More about this job
Responsibilities
Convert critical SAS scripts to Python while preserving logic and output accuracy, and run parallel SAS and Python processes to validate results. Analyze complex IFRS 9 and risk-management datasets, document data lineage and dictionaries for compliance, and train permanent staff to sustain the migration.
Requirements
Candidates need 5–9 years of SAS or data migration experience, advanced SAS and Python expertise, and proven SAS-to-Python migration experience. They should also have skills in data validation and lineage, IFRS 9 modeling, credit risk analytics, and parallel testing; a statistical degree and financial institution or banking experience are preferred.
Skills
- SAS
- Python
- SAS-to-Python Migration
- Data Migration
- Data Profiling
- Data Validation
- Quality Assurance
- Data Lineage Mapping
- Data Dictionary Development
- IFRS 9 Modeling
- Credit Risk Analytics
- Statistical Modeling
- Data Mining
- Parallel Testing
- Risk Management
- Knowledge Transfer
Visa sponsorship
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Categories
- Data & Analytics
- Finance & Accounting
- Technology
- Science & Research
Keywords
- SAS
- Python
- SAS-to-Python Migration
- Data Migration
- IFRS 9
- Credit Risk Management
- Credit Risk Analytics
- Risk Campaigns
- Reporting and Analytics
- Data Mining
- Statistical Modeling
- Data Profiling
- Data Validation
- Quality Assurance
- Data Lineage
- Data Dictionary
- Parallel Testing
- Functional Equivalence
- Performance Optimization
- Regulatory Compliance
- Auditability
- Knowledge Transfer
- Financial Institutions
- Banking