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Vice President, Data Scientist

Job in Downtown Toronto (Central Bay Street), Ontario, M5G, Canada
Listing for: BMO Financial
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 150000 CAD Yearly CAD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: Downtown Toronto (Central Bay Street)

Final date to receive applications:

Address:
100 King Street West

Job Family Group:
Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service North American-based financial services provider, with over 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services. BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US $1.0 trillion total assets and approximately 54,000 employees as of January 31, 2025.

About the Role
We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies, and drive business decisions in the front office, Investment Banking, and Corporate Banking. You will collaborate closely with business teams and other stakeholders to understand their data needs and provide insights that improve trading performance and profitability.

Our Team
The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. Leveraging cutting-edge data and analytics technologies, we solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities
Develop and implement advanced analytics and machine learning models using techniques such as Generative AI, Deep Learning, and Reinforcement Learning.
Build predictive models for algorithmic trading across asset classes including Equities, Fixed Income, Commodities, and Foreign Exchange.
Collaborate with trading desks, investment banking teams, and corporate banking stakeholders to identify opportunities and optimize strategies.
Research and experiment with new machine learning techniques, including time series analysis, to improve trading performance and profitability.
Design and maintain reproducible machine learning pipelines for production environments.
Analyze large datasets to extract insights and support strategic decision-making.
Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.
Visualize complex data clearly and concisely for business consumption.

Qualifications
Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred).
Minimum 3 years of experience in data science or machine learning; experience in capital markets is a strong asset.
Proficiency in statistical modeling, time series analysis, and machine learning frameworks.
Strong programming skills (Python preferred) and experience with cloud technologies.
Familiarity with financial tools such as Bloomberg, Fact Set, and Thomson Reuters is a plus.
Excellent problem-solving skills and ability to formulate hypotheses and learn from data.
Strong communication skills for effective collaboration with technical and business stakeholders.
Team-oriented, adaptable, and detail-focused with a results-driven mindset.

Nice to Have

Experience with Generative AI and advanced ML techniques.
Knowledge of investment banking concepts, trading strategies, and financial data formats.
Familiarity with MLOps tools and practices for model deployment and monitoring.

What We Offer
Join our dynamic team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using innovative technologies. We offer opportunities for professional growth, access to cutting-edge tools, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your relevant experience in data science and finance.

Base Salary: $120,000-$150,000 CAD
(subject to negotiation and subject to the candidate meeting the specific skills, experience,…
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