{"id":"a5176f6e-6249-4d42-939a-3d4d4fb55b1c","title":"Scientifique de données, Stratégies risque de crédit","company":{"id":"760d5899-0b02-459d-b3d4-6d80a6f1a50b","name":"Fédération des Caisses Desjardins","website":null,"url":"https://yesjob-web.pages.dev/companies/760d5899-0b02-459d-b3d4-6d80a6f1a50b"},"url":"https://yesjob-web.pages.dev/jobs/a5176f6e-6249-4d42-939a-3d4d4fb55b1c","apply_url":"https://desjardins.wd10.myworkdayjobs.com/Desjardins2/job/Montral/Scientifique-de-donnes--Stratgies-risque-de-crdit_R2613542","status":"open","location":"Montréal","locations":[{"city":"Montreal","region":null,"country":"CA"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":[],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":["fr"],"seniority":null,"first_seen_at":"2026-11-05T17:59:20.875Z","last_seen_at":"2026-11-08T19:30:17.874Z","salary_text":null,"summary":"- Data scientist role in Desjardins' consumer credit risk strategy team, building and optimizing credit decision strategies with machine learning and predictive modeling.\n- Hybrid workplace in Montréal (days on site not specified).\n- Requirements: quantitative bachelor's degree, minimum two years of relevant experience, French required, and advanced SAS, SQL and/or Python.\n- Pay is described only as competitive with an annual bonus; no figures are given.","sources":["https://desjardins.wd10.myworkdayjobs.com/Desjardins2/job/Montral/Scientifique-de-donnes--Stratgies-risque-de-crdit_R2613542"]}