Associate, Data Scientist

BMO; Toronto; On-site; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

BMO Capital Markets is seeking an experienced Data Scientist to develop analytics and ML models supporting algorithmic trading across asset classes. You will collaborate with front office, investment banking, and corporate banking to turn data into strategic insights.

The Data Cognition Team delivers AI-enabled products and scalable analytics to multiple business units. A base salary ranges CAD 90,000–120,000 with comprehensive compensation. Location: Toronto, Canada.

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, FactSet, 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.

Responsibilities

• Develop and implement advanced analytics and ML models for algorithmic trading strategies.
• Build predictive models for trading across Equities, Fixed Income, Commodities and FX.
• Collaborate with trading desks and investment banking teams to identify opportunities and optimize strategies.
• Research and experiment with new ML techniques, including time series analysis.
• Design and maintain reproducible ML pipelines for production environments.
• Analyze large datasets to extract insights and support strategic decisions.
• Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.
• Visualize data clearly for business consumption.

Skills

Python

Statistical modeling

Time series analysis

Machine learning

Cloud technologies

Communication skills

Team collaboration

Education

Ph.D. in Computer Science/Mathematics/Physics or related field

Tools

Bloomberg

FactSet

Thomson Reuters

Job description

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.

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, FactSet, 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.

Base Salary: $90,000-$120,000 CAD

Salary

Pay Type

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Location: 100 King Street West