{"id":"40c6ff89-f99c-49b5-809d-dcda550b4a5c","title":"Data Scientist, Fraud Predictive Analytics","company":{"id":"9a9527b4-c76e-4d8d-b562-4190b938b028","name":"Bank of Montreal","website":null,"url":"https://yesjob.brogu.ca/companies/9a9527b4-c76e-4d8d-b562-4190b938b028"},"url":"https://yesjob.brogu.ca/jobs/40c6ff89-f99c-49b5-809d-dcda550b4a5c","apply_url":"https://bmo.wd3.myworkdayjobs.com/External/job/Toronto-ON-CAN/Data-Engineer--Fraud-Predictive-Analytics_R260029493","status":"open","location":"Toronto, ON, CAN","locations":[{"city":"Toronto","region":"ON","country":"CA"}],"workplace":"hybrid","remote_eligible_countries":[],"employment_types":["full_time"],"work_auth_required":"unspecified","term":null,"salary_cad_per_year":{"max":175000,"min":80000},"languages_required":[],"seniority":"senior","first_seen_at":"2026-11-05T16:08:17.366Z","last_seen_at":"2026-11-10T03:16:23.411Z","salary_text":null,"summary":"- Full-time, hybrid fraud data science role at BMO in Toronto (100 King Street West); salaried range $80,000.00 to $175,000.00 CAD. Days onsite per week are not stated.\n- Requires 5 to 7 years of data science and analytics experience, plus an advanced quantitative degree or equivalent experience, SQL/Python/PySpark, ML packages, and experience building fraud models at a large financial institution.\n- Application deadline is 11/29/2026.","sources":["https://bmo.wd3.myworkdayjobs.com/External/job/Toronto-ON-CAN/Data-Engineer--Fraud-Predictive-Analytics_R260029493"]}