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Publié il y a 4 jours

Data Scientist, SAS-to-Python Migration (Expert)

@ Raise

Toronto, Ontario

Temps plein10+ ans d’expérience
Postuler
SIGNAUX

En bref

Raise is hiring a Data Scientist for a SAS-to-Python migration on a top client's team in Toronto, on an 8-month contract with possible extension, paying $82.42 to $97.32 per hour, hybrid with at least 4 days a week onsite. The role converts SAS scripts to Python for IFRS9, risk and reporting deliverables, runs parallel validation, and documents data lineage. Ten or more years of SAS migration experience is required.

Responsabilités :

  • Translate SAS scripts into Python for IFRS9, risk and reporting deliverables
  • Run legacy SAS and Python processes in parallel to verify identical outputs
  • Apply data mining and statistical modeling to IFRS9 and risk datasets
  • Create data dictionary and end-to-end data lineage documentation
  • Train permanent staff for knowledge transfer

Résumé des exigences :

  • 10+ years of SAS migration or data migration experience
  • Advanced SAS and Python expertise with SAS-to-Python migration
  • Data profiling, validation and quality assurance skills
  • Data lineage mapping and data dictionary development
  • Understanding of IFRS9 modeling and credit risk analytics
  • Parallel testing and validation capability

Outils et compétences

Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-09
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Expérience10 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
Candidatures encouragéesFemmes, Personnes racisées, Autochtones, 2ELGBTQI+, Vétérans, Personnes handicapées
FormationBaccalauréat (préféré), Maîtrise (préféré)
Domaines d’étudesstatistics

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

ChampValeur
Offres sur Jobsy15
Description
  • 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

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. 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

  • 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: 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 [email protected]

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