Vice President, Data Scientist

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 develop and implement advanced analytics and machine learning models to support algorithmic trading strategies and drive business decisions across the front office, Investment Banking, and Corporate Banking.

The Data Cognition Team delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units, solving complex challenges and driving transformation across Investment Banking and Global Markets.

• Develop and implement advanced analytics and machine learning models using 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.

• 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.

• 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.

We offer opportunities for professional growth, access to cutting‑edge tools, and the chance to make a significant impact on critical business operations.

Base Salary: CAD 120,000–150,000 (subject to negotiation based on skills, experience, and education). Salaried position; compensation may include commission and performance‑based incentives.

Benefits include health insurance, tuition reimbursement, accident and life insurance, retirement savings plans, and other perks. Comprehensive details are available upon request.

BMO is committed to an inclusive, equitable and accessible workplace. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. BMO does not accept unsolicited resumes from any source other than directly from a candidate.