Quantitative Analyst, Fall 2026 (Co-op/Internship)
Data Analytics & Reporting
QuantitativeAnalyst,Fall2026(Co-op/Internship)-4Months
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Quantitative Analyst, Fall 2026 (Co-op/Internship) - 4 Months at Quantitative Analyst, Fall 2026 (Co-op/Internship). Skills: Machine learning, Data analysis, Predictive models. Mine and analyze data. Design processes for modeling”
What You'll Achieve.
Obtain insights; Deliver smarter business decisions; Improve customer experience; Drive productivity; Address business problems; Improved processing and usage of organization data; Maintain market competitiveness; Protecting the bank; Align to business strategy; Protect assets
Industry & Context.
Complex problem solving; Analytical acumen; Analytical and problem solving skills; Exercises judgment to identify, diagnose, and solve problems
What They're Looking For.
Must Have
Masters level education, Coding experience in Python/SQL, API to extract data/or automate, Modeling/automation & machine learning experience, Dashboard building, Bayesian Stats, Financial engineering, Deep learning, Machine learning, Trust, bias and ethics, Creative thinking, Critical thinking, 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, Technical proficiency gained through education and/or business experience
What You'll Do.
Mine and analyze data
Design processes for modeling
Develop predictive models
Design solutions with big data
Display data futuristically
Advance innovative data strategies
Assess feasibility of AI/ML solutions
Conduct large-scale analysis
Discover patterns and trends
Provide recommendations and advice
Develop prediction systems
Investigate additional technologies and tools
Provide data-driven decision making
Understand business problems
Work independently on complex tasks
Execute role within Risk Management Framework
Make risk informed decisions
How You'll Work.
Team & Collaboration
Collaborates with other data and analytics professionals; Collaborate together with the product team and partners
Communication Scope
Verbal & written communication skills
Full Job Description
Application Deadline: 06/11/2026 Address: 100 King Street West Job Family Group: Data Analytics & Reporting • Masters level education is required • Coding experience in Python/SQL is required • API to extract data/or automate • Modeling/automation & machine learning experience required • Dashboard building • Bayesian Stats • Financial engineering 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 gi
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