Senior Data Scientist, Investment Distribution

BMO; Toronto; On-site; CAD 83,000 - 155,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings plans

Job summary

BMO Financial Group in Toronto is seeking a Data Science Specialist who blends financial markets knowledge with data and technology skills. You will mine large data sets, build predictive models, and deliver data-driven insights for smarter business decisions.

Data visualization and dashboards are part of day-to-day work, with collaboration across teams. The ideal candidate is collaborative and sociable, working with data engineers to set up analytics and with investment distribution teams to

Qualifications

• SQL, Python/SAS, and visualization (PowerBI) skills are essential.
• Typically 5-7 years of relevant experience and degree or equivalent.
• Knowledge of asset management, sales, and/or financial institutions is an asset.

Responsibilities

• Mine and analyze large structured and unstructured data to obtain insights.
• Develop predictive models and machine learning algorithms.
• Design dashboards and manage data visualization for business decisions.
• Collaborate with product teams and data engineers to enable analytics.
• Provide data-driven recommendations to senior leaders.

Skills

SQL

Python/SAS

Data visualization

Machine learning

Education

Post-secondary degree in related field

Tools

PowerBI

Job description

Application Deadline:

09/26/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

A data science specialist position that combines knowledge of financial markets and investment sales with data and technology skills. Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages data technology to design solutions that deliver smarter business decisions. Data visualization and dashboard management expected to be part of day-to-day. The ideal candidate will be collaborative and sociable, and will work with data engineers to set up analytics, as well as investment distribution teams to implement analytics solutions.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
• Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

Intermediate level of proficiency:

• Mathematics, statistics & operations research.
• Machine learning.
• Trust, bias and ethics.
• Creative thinking.
• Critical thinking.

Advanced level of proficiency:

• Big data.
• Data visualization.
• Computational thinking and programming.
• Data wrangling.
• Data preprocessing.
• Creative reasoning.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.
• Influence skills.
• Data driven decision making.
• Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• SQL, Python/SAS, and visualization (e.g., PowerBI) skills are essential.
• Knowledge of asset management, sales, and/or financial institutions an asset.

Salary** : **

$82,800.00 - $154,800.00

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.