Fraud Predictive Analytics Engineer (Hybrid)
Data scientist at BMO Financial Group in Toronto applying advanced analytics, machine learning/deep learning, and pattern detection to financial crime and fraud problems. Builds predictive models and dashboards, and turns findings into business insights using SQL, Python, and PySpark in a hybrid role.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data analytics
- Posted
Skills
Must have
- 5-7 years of data science experience
- Strong programming skills in SQL
- Strong programming skills in Python
- Experience with PySpark
- Experience with machine learning libraries
- Applied analytics, ML/DL and pattern detection on financial crime problems
- Build predictive models and dashboards
- Translate findings into actionable business insights
- Collaborate across teams
Full description
BMO Financial Group in Toronto seeks an experienced Data Scientist to apply advanced analytics, ML/DL and pattern detection to financial crime problems. You will build predictive models and dashboards, translate findings into actionable business insights, and collaborate across teams.
The role requires 5–7 years of data science experience, strong programming skills (SQL, Python, PySpark) and ML libraries. The position offers a hybrid work arrangement and a comprehensive benefits package.