Analyst, Data Scientist

Socket.dev; Toronto; On-site; CAD 90,000 - 110,000; 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 Data Scientist to advance analytics and ML for algorithmic trading. You will develop models across asset classes and collaborate with trading desks, investment banking, and corporate banking to optimize strategies and profitability.

The role emphasizes time-series techniques, scalable ML pipelines, and clear communication of insights to senior leadership. A background in quantitative fields and 2+ years of experience are required.

Qualifications

• Background in Computer Science, Mathematics, Physics, or related quantitative field (finance/economics/OR preferred).
• Minimum 2 years of working experience in data science or ML or equivalent master in these fields.
• Proficiency in statistical modeling, time series analysis, and ML frameworks.
• Strong programming skills (Python) and experience with cloud technologies.
• Familiarity with Bloomberg, FactSet, and Thomson Reuters is a plus.
• Excellent problem-solving skills and ability to derive insights from data.
• Strong communication skills for collaboration with technical and business stakeholders.

Responsibilities

• Develop and implement advanced analytics and ML models for algorithmic trading.
• Build predictive models for trading across asset classes.
• Collaborate with trading desks and corporate/banking teams to optimize strategies.
• Research new ML techniques to improve trading performance.
• Design reproducible ML pipelines for production use.
• Analyze large datasets to extract actionable insights.
• Present findings to senior management and stakeholders.
• Visualize data clearly for business consumption.

Skills

Python

Statistical modeling

Time series analysis

ML frameworks

Communication skills

Problem solving

Education

Bachelor's degree in CS/Math/Physics

Master's in data science or related field

Ph.D. (nice to have)

Tools

Bloomberg

FactSet

Thomson Reuters

Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to clients around the world. #bmocapitalmarkets

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

• Background in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred).
• Minimum 2 years of working experience in data science or machine learning or equivalent master in these fields.
• 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

• Ph.D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred).
• 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: $100,000 CAD

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

Pay Type:

Salaried

Salary:

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.

• health insurance
• tuition reimbursement
• accident and life insurance
• 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 strive to help you make an impact from day one - for yourself and our customers. 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.