{"id":"366b83de-428a-46c8-9fc7-e9758534e6df","title":"Senior Data Scientist, Credit Risk","company":{"id":"3919cfef-fe98-47fa-96e0-32eef7e62ed0","name":"National Bank of Canada","website":"https://emplois.bnc.ca","url":"https://yesjob-web.pages.dev/companies/3919cfef-fe98-47fa-96e0-32eef7e62ed0"},"url":"https://yesjob-web.pages.dev/jobs/366b83de-428a-46c8-9fc7-e9758534e6df","apply_url":"https://emplois.bnc.ca/en_CA/careers/JobDetail/36182","status":"open","location":"Richmond Hill","locations":[{"city":null,"region":null,"country":"CA"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":["full_time"],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":null,"languages_required":["en"],"seniority":"senior","first_seen_at":"2026-11-06T09:01:29.138Z","last_seen_at":"2026-11-14T22:52:04.203Z","salary_text":null,"summary":"- Hybrid senior quantitative role in Richmond Hill, Ontario, on the Credit Risk Analytics team covering economic capital, ICAAP, IFRS 9 and stress testing.\n- Requires a master's degree in a relevant field and 3 to 5 years of risk, credit or quantitative experience within a financial institution.\n- Requires strong Python, SQL or SAS programming and effective use of AI tools; English is mandatory and French is an asset.\n- Hybrid days per week and salary are not stated.","sources":["https://emplois.bnc.ca/en_CA/careers/JobDetail/36182"]}