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Bank of Montreal

Data Scientist

Job Posted 16 Days Ago Posted 16 Days Ago
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Toronto, ON
Mid level
Toronto, ON
Mid level
As a Data Scientist, you will develop advanced analytics and machine learning models to support trading strategies, collaborate with various stakeholders, and improve business decisions through data insights.
The summary above was generated by AI

Application Deadline:

04/29/2025

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

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.

**Important**

To ensure that we attract top talent, we require all applicants to answer screening questions listed below. Please include your responses at the beginning of your resume before any other content.

1. Briefly explain how your qualifications, including your education and work experience, align with the job description you are applying for ?

2. What interests you about finance, Capital Markets, and BMO?

Responsibilities

  • Develop and implement advanced analytics and machine learning models, using techniques such as Generative AI, Deep Learning, and Reinforcement Learning, to support algorithmic trading in various asset classes including Equities, Fixed Income, Commodities, and Foreign Exchange, as well as Cross Assets Structured Products and Investment Banking and Corporate Banking initiatives.

  • Collaborate with Trading teams, Investment Banking, and Corporate Banking stakeholders to understand their data needs and provide insights and recommendations to improve trading strategies and business decisions.

  • Research and experiment with new techniques in Machine Learning and time series analysis to enhance trading performance, investment banking strategies, and profitability.

  • Communicate complex technical concepts to non-technical stakeholders and present results to senior management and other key decision-makers.

  • Leverage Machine Learning and Artificial Intelligence techniques to improve current prediction models, enhance data collection procedures, and create fully functional and reproducible Machine Learning pipelines to support both trading and banking initiatives.

  • Analyze large datasets to create predictive models that support investment banking and corporate banking initiatives.

  • Ensure all steps needed in the delivery of demanding data products are understood and executed.

  • Visualize complex data in a clear and concise manner.

Who we’re looking for:

  • A Ph.D. in Computer Science, Mathematics, Physics, or a related field with a focus on finance, economics, or operations research.

  • At least 3 years of experience in data science or machine learning, with skills in statistical modeling and time series analysis. We encourage applications from all experience levels, both junior and senior professionals. Multiple positions are available.

  • Capital Markets experience is preferred.

  • Strong programming skills and experience with cloud technologies.

  • Familiarity with finance tools such as Bloomberg, FactSet, and Thomson Reuters is a plus.

  • Strong quantitative, technology, and finance skills.

  • Ability to investigate phenomena, formulate hypotheses, and learn from data.

  • Team-oriented, comfortable sharing ideas and working effectively with others.

  • Able to exercise independent thought and judgment, and adapt to new tasks with little notice.

  • Detail and results-oriented with advanced knowledge of design and analysis methodologies.

  • Experience with common data science toolkits.

Join our team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using innovative technologies. Apply today with your resume, highlighting your relevant experience in data science and finance.

We are considering professionals at the Associate and Vice President level.

The salary range for this role is $100,000 up to $150,000 CAD (subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

$81,600.00 - $151,200.00

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 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.

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.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

Top Skills

Cloud Technologies
Deep Learning
Generative Ai
Machine Learning
Python
Reinforcement Learning
Statistical Modeling
Time Series Analysis
HQ

Bank of Montreal Toronto, Ontario, CAN Office

First Canadian Place, 100 King Street, Toronto, Ontario, Canada, M5X 1A1

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