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 a talented Data Scientist to join the Data Cognition Team. You will develop and implement advanced analytics and ML models to support algorithmic trading strategies and drive business decisions across front office, Investment Banking, and Corporate Banking.

You will collaborate with trading desks and stakeholders, design reproducible ML pipelines, analyze large datasets, and present findings to senior management.

Qualifications

• PhD in computer science, mathematics, physics, or related quantitative field with focus on finance/economics preferred.
• Minimum 3 years of data science or ML experience; capital markets exposure a plus.
• Proficiency in statistical modeling, time series analysis, and ML frameworks.
• Strong programming skills (Python preferred) and cloud experience.
• Familiarity with financial data tools such as Bloomberg, FactSet, Thomson Reuters preferred.

Responsibilities

• Develop and implement advanced analytics and ML models for algorithmic trading across asset classes (equities, fixed income, commodities, FX).
• Build predictive models and reusable ML pipelines.
• Collaborate with trading desks and banking teams to identify opportunities and optimize strategies.
• Research new ML techniques to improve trading performance and profitability.
• Communicate complex findings to non-technical stakeholders and senior management.

Skills

Statistical modeling

Time series analysis

Problem solving

Communication skills

Education

PhD in Computer Science/Math/Physics or related quantitative field

Tools

Python

Cloud technologies

Bloomberg

FactSet

Thomson Reuters

Job description

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, 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

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

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. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network‑building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en

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.