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HR Data and Process Analyst, People Services Delivery
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Quantitative Analyst, Summer 2027 (Co-op/Internship) - 4 Months
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BMO

Quantitative Analyst, Summer 2027 (Co-op/Internship) - 4 Months

Toronto, ON, Canada
FCP, Canada

$65,000.00 - $140,000.00 · Full-time

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Job details

Pay: $65,000.00 - $140,000.00
Job type: Full-time
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 6, 2026

Original job description

Application Deadline:

12/03/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Qualifications & Skills

Education

Currently pursuing or recently completed a Master's degree or PhD in Quantitative Finance, Financial Engineering, Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative discipline.
Strong academic foundation in quantitative analysis, statistical modeling, and computational methods.

Technical Skills & Experience

Proficiency in Python or other programming languages used for quantitative analysis and data science.
Experience developing and leveraging APIs to extract, integrate, and automate data workflows.
Knowledge of quantitative modeling, process automation, and machine learning techniques.
Experience creating data visualizations, reports, and interactive dashboards to support decision-making.
Understanding of Bayesian statistics and their application to real-world analytical problems.
Knowledge of financial engineering, quantitative risk analysis, or related financial modeling concepts.
Ability to work with large and complex datasets to generate meaningful insights and recommendations.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience applying machine learning or statistical techniques within a financial services environment.
Exposure to cloud-based analytics platforms, data engineering tools, or advanced quantitative research methods.
Demonstrated interest in quantitative finance, financial markets, and data-driven decision making.

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 big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature 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.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works independently on a range of complex tasks, which may include unique situations.
Broader work or accountabilities may be assigned as needed.
Take measured risks while protecting the bank by applying our Risk Management Framework in the execution of your role, in line with our Risk Culture and within our approved Risk Appetite, making sound and risk informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents (Frameworks, Policies, Standards, Procedures and Supporting documents), laws and regulations.

Qualifications:

Foundational level of proficiency:

Deep learning.
Machine learning.
Trust, bias and ethics.
Creative thinking.
Critical thinking.

Intermediate level of proficiency:

Mathematics, statistics & operations research.
Big data.
Data visualization.
Computational thinking and programming.
Data wrangling.
Data preprocessing.
Complex problem solving.
Analytical acumen.
Creative reasoning.
Verbal & written communication skills.
Collaboration & team skills.
Analytical and problem solving skills.
Influence skills.
Data driven decision making.
Typically between 1-3 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Technical proficiency gained through education and/or business experience.

Salary:

$65,000.00 - $140,000.00

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.

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More about this job

Responsibilities

The role involves designing and constructing data models using machine learning and AI to derive business insights and improve decision-making. You will collaborate with cross-functional teams to scale analytical solutions and provide data-driven recommendations to business leaders.

Requirements

Candidates must be pursuing or have completed a Master's or PhD in a quantitative discipline such as Finance, Statistics, or Computer Science. Proficiency in Python and experience with statistical modeling, data workflows, and complex datasets are required.

Skills

Python
Quantitative analysis
Statistical modeling
Machine learning
Data visualization
Financial engineering
Bayesian statistics
Big data
Deep learning
Data wrangling
Computational thinking
Operations research
Predictive modeling
Data mining
Risk analysis
Problem solving

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Quantitative Analyst
Python
Machine Learning
Deep Learning
Artificial Intelligence
Financial Engineering
Statistical Modeling
Data Science
Big Data
Data Visualization
Bayesian Statistics
Risk Management
Predictive Models
Data Mining
APIs
Quantitative Finance
Data Engineering
Cloud Analytics
Operations Research
Data Wrangling
Computational Thinking
Financial Markets
Analytical Algorithms
Business Planning
Risk Appetite
Data-driven Decision Making
Quantitative Research
Structured Data
Unstructured Data
Automation

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