Analyst, Data Scientist
Toronto, ONBank of Montreal
2+ YOECandidates need a quantitative background, at least 2 years of data science or machine learning experience, and strong Python and cloud skills. Strong communication and problem-solving abilities are also needed.
Python, Bloomberg, FactSet, Thomson Reuters
Vice President, Data Scientist
Toronto, ONBank of Montreal
3+ YOECandidates need a PhD in computer science, mathematics, physics or a related quantitative field, plus at least 3 years of data science or machine learning experience. Strong Python, statistical modeling, time series and cloud skills are required, and capital markets experience is an asset.
Python, Bloomberg, FactSet, Thomson Reuters
Associate, Data Scientist
Toronto, ONBank of Montreal
3+ YOECandidates need a Ph.D. in a quantitative field, at least 3 years of data science or machine learning experience, strong Python and cloud skills, and statistical and time series modeling ability. Capital markets experience is a strong asset.
Python, Bloomberg, FactSet, Thomson Reuters
Enterprise Architect – AI and Data
Toronto, ONBank of Montreal
10+ YOEBank of Montreal needs candidates with a degree in computer science, data science, engineering or AI, and 10+ years of enterprise architecture experience. Hands-on experience with production AI and ML systems, cloud platforms, Python and SQL is required, and AWS or AI/ML certifications are preferred.
TensorFlow, PyTorch, AWS, Azure, GCP
Manager - Lending Strategy
Toronto, ONBank of Montreal
3+ YOEBank of Montreal needs candidates with 3+ years in data science, credit risk analytics or unsecured lending strategy. Candidates must be hands-on with Python, SQL and SAS, and able to explain technical findings to senior business audiences. A graduate degree in a quantitative field is preferred.
Python, SQL, SAS, Decision tree platforms, Cloud-based analytics tools, Data visualization platforms
Developer Lead (AI-Enabled Systems)
Toronto, ONBank of Montreal
7+ YOEBank of Montreal needs candidates with 7 to 10+ years of backend or full stack experience, skill in one backend language and one frontend framework, and hands-on experience building LLM applications. Familiarity with RAG concepts, embeddings, vector search and prompt evaluation is also required.
Java, Spring Boot, React, Angular, LangChain, AWS Bedrock