BMO Capital Markets, Data Analytics Strategy Analyst - Toronto (Winter 2025)

at  BMO Financial Group

DESCRIPTION

BMO Capital Markets’ Office of the COO is looking for Co-Op Students to support our Data and Analytics Strategy Team for the fall of 2024.
The student will be responsible for data-science related support for Capital Markets, enhancing the data and analytics capabilities of the organization. The candidates will help deliver specific technical solutions / tools for sharpening a holistic cross-business lens. Focus will be on augmenting critical first line platforms for which exceptional programming and data science skills are required. Tasks include: consolidating internal and external data relevant to core businesses (data engineering, validation, enhancement); creation and development of analytics and predictive models using large datasets; producing visualizations and select dashboards to clearly articulate insights to decisionmakers. The position is suited for bright, hard-working individuals who enjoy working in a dynamic, fast-paced environment with minimal supervision.

QUALIFICATIONS:

• Currently enrolled in an undergraduate program; graduating in Spring 2026 and onwards.
• Strong academic record –minimum 3.4/4.0 GPA
• We are looking for highly motivated individuals who can work well in a team-based environment
• Co-op candidates having a background in data science and exposure to Finance/Accounting via coursework or prior work experience is a plus
• Interest-in, and working knowledge of, capital markets and/or treasury concepts
• Excellent written and verbal communication skills
• Above average work ethic and motivation
• Ability to learn quickly and juggle multiple priorities at the same time
• Excellent interpersonal and communications skills
• Strong attention to detail, organized, able to work independently
• Strong programming skills with prior development experience
• Comfort working with large data sets; ability to manipulate, conduct analysis, and come to logical conclusions. Be able to communicate and present to the team
• Solid documentation habits, bias towards explainability
• Capable of building long-term enterprise implementations vs. academic one-offs

TECHNICAL QUALIFICATIONS:

Candidates must have advanced technical capabilities in Excel, Python, VBA, Java, and SQL.
Skill in other languages such as C, C#, C++ are an asset.
Expertise in dashboarding and visualization using PowerBI
Experience with AWS environments and tools (Sagemaker, Glue, S3, Athena etc.) preferred
Knowledge of AI tools and concepts (Tensorflow, Pytorch, Prompt Engineering, Transformers, etc.) valued
Strong knowledge of the Microsoft Office Suite
Solid understanding of statistical concepts

THE CAMPUS JOB DESCRIPTION ABOVE ALIGNS TO THE FULL TIME JOB DESCRIPTION BELOW.

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.

QUALIFICATIONS:

Foundational level of proficiency:

• Technical design optimization.
• Decision Making.
• Systems Thinking.
• Data visualization.
• Data storytelling.
• Data mining.
• Illustration.
• Creative thinking.
• Problem Solving.
• Insights design.
• Insights development and reporting.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.
• Typically between 3 - 5 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.

• Develop and integrate internal and external sources of client information
• Provide insight and analysis that can be effectively and efficiently mined to support business decision-makin