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Senior Data Scientist, Credit Risk Strategy

@ Federation Caisses Desjardins

Montréal, Québec

HybrideTemps plein6+ ans d’expérience
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En bref

Federation Caisses Desjardins is hiring a Senior Data Scientist for its Credit Risk Strategy department to design, build and roll out credit risk decision strategies and machine learning models. The role is full-time, hybrid, with a minimum of six years of relevant experience and advanced SAS, SQL and Python skills. The posting states French is required, and offers a salary with annual bonus, four weeks of flexible vacation and a defined benefit pension plan.

Responsabilités :

  • Concevoir et mettre en œuvre des stratégies de décision en gestion du risque de crédit
  • Développer, calibrer et déployer des modèles prédictifs et d'apprentissage automatique
  • Préparer les dossiers méthodologiques pour les comités de gouvernance et de validation
  • Conseiller les unités d'affaires et simplifier les concepts analytiques complexes
  • Encadrer et mentorer les membres de l'équipe

Résumé des exigences :

  • Baccalauréat en mathématiques, statistique, économie, finance ou domaine connexe
  • Minimum de six ans d'expérience en science des données ou gestion du risque de crédit
  • Expérience de modèles prédictifs en production
  • Maîtrise avancée de SAS, SQL et Python
  • Connaissance du français requise

Outils et compétences

Avantages mentionnés

Régime de retraiteCongés payés
Source et dates

Site carrière / système de candidatures · workday

Date publiée par l’employeur
2026-11-11
Première détection par notre source
2026-11-12
Mise à jour du dossier source
2026-11-12

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

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience6 an(s) et plus
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish, French
FormationBaccalauréat (exigé)
Domaines d’étudesMathematics, Statistics, Economics, Finance
Avantages mentionnésCongés payés généreux, Horaire flexible, Régime de retraite, Prime de rendement, Mieux-être

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

Federation Caisses Desjardins

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

Description complète de l’entreprise

Desjardins Group is the largest cooperative financial group in North America and the fifth largest cooperative financial group in the world, with assets of $435.8 billion as at March 31, 2024. It was named one of Canada's Best Employers by Forbes magazine and by Mediacorp. To meet the diverse needs of its members and clients, Desjardins offers a full range of products and services to individuals and businesses through its extensive distribution network, online platforms and subsidiaries across Canada. Ranked among the world's strongest banks according to The Banker magazine, Desjardins has some of the highest capital ratios and credit ratings in the industry and the first according to Bloomberg News.

Abonnés LinkedIn
379 882
Personnes associées sur LinkedIn
43 673
Bureaux déclarés
  • 100, rue des Commandeurs, Lévis, Québec G6V 7N5, CA
  • 11 King St W, Toronto, ON M5H 4C7, CA
  • 110 9 Ave SW, Calgary, AB T2P 0T1, CA
  • 1 Complexe Desjardins, Montreal, QC H2X, CA
Catégories d’activité
  • Banking
  • InsurTech
  • Insurance
  • Financial Services
Autres noms enregistrés
  • Desjardins
Spécialités
  • Services financiers
Le profil indique une agence de recrutement
Non
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Desjardins Group is the largest cooperative financial group in North America and the fifth largest cooperative financial group in the world, with assets of $435.8 billion as at March 31, 2024. It was named one of Canada's Best Employers by Forbes magazine and by Mediacorp. To meet the diverse needs of its members and clients, Desjardins offers a full range of products and services to individuals and businesses…

ChampValeur
SecteurBanking
Taille10,001+ employees
Siège socialLévis, Québec
Type d’organisationPrivately Held
SpécialitésServices financiers
Offres sur Jobsy166
LinkedInVoir la page
Description

The Personal Services Credit Risk Strategy Department develops and implements credit risk decision-making strategies based on risk/return quantification to deliver value not just for the organization, but also for members and clients, in a way that supports Desjardins Group’s longevity. As a Senior Data Scientist, Credit Risk Strategy, you help define and develop the analytical directions that support our needs for assessing and managing the credit risks associated with granting loans and the financing product lifecycle. You are recognized for your leadership and expertise. You have the ability to take on the design, development, implementation and evolution of decision-making strategies with very little supervision. You influence business directions and risk management practices through the quality of your analytical work, recommendations and deliverables. You are the go-to resource for specialized teams, business partners and senior management during initiatives with a strong strategic impact. More specifically, you will be required to:

  • Design, apply, implement and develop decision-making strategies in the realm of credit risk management, while overseeing the production of rigorous methodological documentation that meets governance, validation and model framework requirements.
  • Develop, calibrate and roll out predictive models and advanced machine learning algorithms to improve the performance of risk strategies and the experience of our members and clients.
  • Maximize the financial impact of strategies that have been rolled out, and actively contribute to the transformation of credit risk management practices.
  • Lead or contribute to large-scale strategic transformation initiatives that require advanced expertise in data science, predictive modelling and credit risk.
  • Prepare and present the methodological files, analyses and recommendations required for various governance processes, including independent validation exercises, approval committees and risk monitoring bodies.
  • Ensure alignment between business objectives, regulatory requirements, sound risk management and industry best practices.
  • Serve as a senior advisory specialist to the organization’s various units and help influence their decisions by simplifying complex analytical concepts in terms non-experts can understand.
  • Serve as a mentor, coach and technical resource person for team members, and contribute to the development of the division’s analytical practices.

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

*Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor’s degree in math, statistics, economics, finance or a related field
  • A minimum of six years of relevant experience in data science, predictive modelling or credit risk management
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Proven experience with the development, validation and implementation of predictive models and machine learning solutions in a production environment
  • In-depth experience with credit risk management and quantification, and coming up with risk management decision-making strategies
  • Experience creating methodology documentation and presenting files intended for governance, model validation and risk management purposes
  • Knowledge of French is required
  • Advanced proficiency with SAS, SQL and Python programming tools
  • Knowledge of machine learning algorithms and their tangible applications in a credit risk environment
Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning

Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Trade Union (If applicable)

Job Family

Data (FG)

Unposting Date

2026-11-30

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