Data Scientist, Sas-To-Python Migration (Expert)
$82.42 - $97.32 per hourRaise - find a more meaningful working experience
Data Scientist, SAS-to-Python Migration (Expert)We at Raise are hiring a Data Scientist, SAS-to-Python Migration (Expert) for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand.
Location: Toronto, ON - Hybrid (Minimum 4 days a week onsite, 1 day is remote)
Pay Rate: $82.42/hr - $97.32/hr
Contract Length: 8 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.
Must have skills:
10 + 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
Nice to have skills:
Bachelor’s Degree
Master’s degree or equivalent in statistical background (strongly preferred)
Financial institution background is preferred.
Looking for meaningful work? We can help!Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation:
#J-18808-Ljbffr
Location: Toronto, ON - Hybrid (Minimum 4 days a week onsite, 1 day is remote)
Pay Rate: $82.42/hr - $97.32/hr
Contract Length: 8 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.
Must have skills:
10 + 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
Nice to have skills:
Bachelor’s Degree
Master’s degree or equivalent in statistical background (strongly preferred)
Financial institution background is preferred.
Looking for meaningful work? We can help!Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.
We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation:
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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