Job Description
Make a significant impact in the financial sector as a Data Scientist at BMO Capital Markets, focusing on advanced analytics to boost trading strategies.
In this role with the Data Cognition Team, you will develop machine learning models that support algorithmic trading, directly influencing front office operations. Ideal candidates will have a Ph.D. and at least 3 years of experience in data science, particularly within capital markets. You will utilize your technical skills to provide insights and collaborate across teams to drive profitability.
Key Responsibilities:
• Develop a range of machine learning models
• Optimize trading strategies with predictive analytics
• Collaborate closely with trading desks and stakeholders
• Maintain machine learning pipelines for production use
• Communicate complex findings to non-technical audiences
Requirements:
• Ph.D. in a quantitative field with finance emphasis
• At least 3 years of experience in machine learning...
In this role with the Data Cognition Team, you will develop machine learning models that support algorithmic trading, directly influencing front office operations. Ideal candidates will have a Ph.D. and at least 3 years of experience in data science, particularly within capital markets. You will utilize your technical skills to provide insights and collaborate across teams to drive profitability.
Key Responsibilities:
• Develop a range of machine learning models
• Optimize trading strategies with predictive analytics
• Collaborate closely with trading desks and stakeholders
• Maintain machine learning pipelines for production use
• Communicate complex findings to non-technical audiences
Requirements:
• Ph.D. in a quantitative field with finance emphasis
• At least 3 years of experience in machine learning...
Ready to Apply?
Submit your application today and join our talented team at BMO Financial Group.
Submit ApplicationJob Details
- Location toronto, on
- Job Type Full-time
- Category Other-General
- Posted Date June 04, 2026
- Application Deadline July 14, 2026