Time since we first saw it
Day 48
Similar jobs usually come down between day 7 and day 55.
From 10,019 similar postings that came down. Coming down is not always a hire.
Analyst, Data Scientist
Toronto, ON, CAN
Live, first seen by us 48 days ago- Pay
CAD 100,000/year · BaseAnnual period assumed — pay source
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. Apply today with your resume, highlighting your relevant experience in data science and finance. Base Salary: $100,000 CAD (subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets.
The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units.
Develop and implement advanced analytics and machine learning models
Build predictive models for algorithmic trading across asset classes
Collaborate with trading and banking teams to identify and optimize strategies
Design and maintain reproducible machine learning pipelines for production
Present findings and visualize complex data for non-technical stakeholders
From the employer’s posting
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.
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.
Design and maintain reproducible machine learning pipelines for production environments.
Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.
Education & alternatives
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.
About Bank of Montreal
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 17, 202648 days ago
- Recorded sightings
- 133
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Bank of Montreal is hiring
33 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 12% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
Where the posting names them
· 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.
Your next step
Complete your application on bmo.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Application Deadline:
Address:
100 King Street WestJob Family Group:
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. Apply today with your resume, highlighting your relevant experience in data science and finance.
Base Salary: $100,000 CAD
(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)
Salary:
Pay Type:
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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. Apply today with your resume, highlighting your relevant experience in data science and finance. Base Salary: $100,000 CAD (subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)
- Location & working pattern
Toronto, ON, CAN
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.