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Data Scientist – SAS-to-Python Migration

@ Infotek Consulting Inc.

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Toronto, Ontario

Contrat5+ ans d’expérience
Postuler
SIGNAUX

En bref

Infotek Consulting Inc. is hiring a contract Data Scientist / Senior Consultant to support a SAS-to-Python migration for a leading Canadian bank. The work centres on converting SAS financial risk models, including IFRS9 and credit risk analytics, into Python with validation and regulatory documentation. The role is hybrid, with 4 days onsite in downtown Toronto and 1 day remote.

Responsabilités :

  • Convert SAS scripts and financial risk models into Python
  • Run parallel testing and validation between SAS and Python
  • Perform data profiling, statistical analysis and quality assurance
  • Maintain data dictionaries and end-to-end data lineage documentation
  • Support regulatory compliance, audits and knowledge transfer

Résumé des exigences :

  • 5 to 9 years of relevant SAS migration or data migration experience
  • Advanced proficiency in SAS and Python
  • Strong understanding of IFRS9 modelling and credit risk analytics
  • Experience with parallel testing, reconciliation and validation
  • Proficiency in data profiling, quality assurance and lineage mapping
  • Strong documentation, analytical and communication skills

Outils et compétences

SASPython
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-08
Première détection par notre source
2026-11-10
Mise à jour du dossier source
2026-11-10

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

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience5 an(s) et plus
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
FormationMaîtrise (préféré)
Domaines d’étudesStatistics, Quantitative discipline

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

Postuler

Infotek Consulting Inc.

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ChampValeur
Offres sur Jobsy3
Description

Data Scientist – SAS-to-Python Migration (Contract)

Location: Downtown Toronto, ON

Work Arrangement: Hybrid – 4 days onsite, 1 day remote

Industry: Banking / Financial Services

We are currently seeking an experienced Data Scientist / Senior Consultant to support a strategic SAS-to-Python migration initiative with a leading Canadian bank.

The successful candidate will be responsible for migrating legacy SAS applications to Python, with a focus on IFRS9 models, credit risk analytics, data validation, and regulatory compliance.

Key Responsibilities:

  • Convert existing SAS scripts and financial risk models into Python, ensuring accuracy and functional equivalence.
  • Conduct parallel testing and validation to ensure consistent outputs between SAS and Python.
  • Perform data profiling, statistical analysis, and quality assurance.
  • Develop and maintain data dictionaries and end-to-end data lineage documentation.
  • Support regulatory compliance, audit requirements, and knowledge transfer activities.

Required Qualifications:

  • 5–9 years of relevant experience in SAS migration, data migration, or related technical roles.
  • Advanced proficiency in SAS and Python, with proven hands-on SAS-to-Python migration experience.
  • Strong understanding of IFRS9 modeling and credit risk analytics.
  • Experience with parallel testing, data reconciliation, and validation.
  • Proficiency in data profiling, data quality assurance, and data lineage mapping.
  • Strong technical documentation, analytical, and communication skills.

Preferred Qualifications:

  • Previous experience within banking or financial services.
  • Master's degree in Statistics or a related quantitative discipline.
  • Experience supporting regulatory or audit-driven financial modeling initiatives.

Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.

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