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Raise

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: Dec 10, 2026
Posting language: English
Posted: Nov 10, 2026

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

We at Raise are hiring a Data Scientist, SAS-to-Python Migration for one of our top clients. After establishing themselves as an industry leader, they’re now expanding their team to meet rising demand. We’re hiring right now; if you’re interested, apply below for your chance to join a great place to work

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

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

Nice To Have Skills

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

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: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or another job posting by Raise (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com

#FIN24

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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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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

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