Business Analyst, Risk Data - Fall 2026 (Co-op/Internship) - 8 Months

BMO•Toronto, ON

1d•Onsite

About The Position

The ideal candidate will have experience with Python, a product building mindset, building AI related workflows, understanding of RES API, RAG. This role involves understanding and articulating the business case of business questions and the estimated value being delivered. It includes designing dashboards and analyses, identifying trends and patterns to provide insights through reporting and data visualization techniques. The candidate will work with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools. This role also focuses on building various reporting dashboards, providing value through insights, reporting and data visualization techniques, and selecting, configuring and implementing analytics solutions for consistency and repeatability. The candidate will research and apply continuous improvement in data visualization, work with different teams, management and stakeholders to enhance usability and aesthetic appeal of data analytics solutions, and translate business needs to technical specifications. Additionally, the role involves developing data visualizations of "large" amounts of data, documenting data flow, systems and processes, and developing tools and delivering training programs for reporting tools and self-serve analytics for non-analytical end users. The focus may be on a specific business/group. The candidate will think creatively, propose new solutions, exercise judgment to identify, diagnose, and solve problems, and work mostly independently. Broader work or accountabilities may be assigned as needed. The role requires taking measured risks while protecting the bank by applying the Risk Management Framework, making sound and risk-informed decisions that align to business strategy, protect assets, and adhere to applicable policy documents, laws, and regulations.

Requirements

Python
A product building mindset
Building AI related workflows
Understanding of RES API, RAG
Foundational level of proficiency: Technical design optimization.
Foundational level of proficiency: Decision Making.
Foundational level of proficiency: Systems Thinking.
Foundational level of proficiency: Data visualization.
Foundational level of proficiency: Data storytelling.
Foundational level of proficiency: Data mining.
Foundational level of proficiency: Illustration.
Foundational level of proficiency: Creative thinking.
Foundational level of proficiency: Problem Solving.
Foundational level of proficiency: Insights design.
Foundational level of proficiency: Insights development and reporting.
Foundational level of proficiency: Verbal & written communication skills.
Foundational level of proficiency: Collaboration & team skills.
Foundational level of proficiency: Analytical and problem solving skills.
Typically between 1-2 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
Specialized knowledge from education and/or business experience.

Responsibilities

Understands and articulates the business case of business questions and the estimated value being delivered.
Designs dashboards and analyses to be performed, and appropriate visualization and analytics tools to use.
Identifies trends and patterns to address identified business questions and provide insights through reporting and data visualization techniques.
Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.
Builds various reporting dashboards using the most appropriate data extraction, data cleaning and data visualisation techniques.
Provides value through insights, reporting and data visualization techniques.
Selects, configures and implements analytics solutions for consistency and repeatability.
Researches and applies continuous improvement in data visualization by identifying trends and patterns to transform raw data into actionable business insights.
Works with different teams, management and stakeholders to enhance the usability and aesthetic appeal of data analytics solutions deployed in the organization.
Translates business needs to technical specifications and evaluates existing data visualization systems in order to improve them.
Develops data visualizations of "large" amounts of data that facilitate the intuitive presentation of data to decision makers.
Documents data flow, systems and processes to improve the design, implementation and management of business/group processes.
Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
Focus may be on a business/group.
Thinks creatively and proposes new solutions.
Exercises judgment to identify, diagnose, and solve problems within given rules.
Works mostly independently.
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.