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Added 4 mins ago
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Marsh McLennan

Marsh People and Investments - Strategic Implementation Co-Op - Toronto - Winter 2027

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 16, 2026
Posting language: English
Posted: Nov 2, 2026

Original job description

Company:

Marsh

Description:

We are seeking a talented individual to join our Strategic Implementation team at Marsh People and Investments. This role will be based in Toronto for the Winter 2027 term. This is a hybrid role that has a requirement of working at least three days a week in the office.

As a Strategic Implementation Co-op in the Investments and Retirement practice, you will have hands-on exposure to AI-enabled process improvement, business analysis, and workflow design. You will work closely with business stakeholders across the organization to understand current-state workflows and help design, test, and refine AI-enabled solutions. The role reports to the Strategic Implementation manager, who will provide direction on overall objectives and priorities.

We will count on you to:

Participate in discussions with stakeholders across business units to understand current-state workflows, business objectives, and operating constraints.

Gather, organize, and document business and functional requirements for AI-enabled workflow improvement opportunities.

Analyze processes to identify inefficiencies, decision points, handoffs, and opportunities for automation or augmentation.

Support the design, testing, and refinement of AI-enabled workflows, prompt structures, decision logic, and prototype tools.

Work with structured datasets to validate inputs, assess data quality, and support analysis tied to business use cases.

Prepare clear documentation, summaries, and recommendations for both technical and non-technical audiences.

What you need to have:

Currently pursuing an undergraduate or graduate degree in computer science, data science, engineering, information systems, business operations, or a related field.

Basic familiarity with Python and the ability to reason through workflow logic and technical problem-solving tasks.

Working understanding of SQL, relational data structures, and structured data analysis.

Strong analytical and problem-solving skills, with the ability to translate business needs into practical technical requirements.

What makes you stand out?

Completion of two (2) years towards a Bachelor's degree in Computer Science, Mathematics, Statistics, Business Analytics, Industrial Engineering, Data Science and Analytics, Commerce, Information Technology or a related field when internship begins

Understanding of prompt engineering concepts, including system prompts, structured outputs, testing, and iterative refinement.

Ability to communicate clearly, manage ambiguity, and work effectively across functions with both technical and non-technical stakeholders.

Interest in buy-side investment management, trading operations, advisory environments, or related business domains, along with demonstrated curiosity and hands-on engagement with AI tools.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.

We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.

Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

What's Next? 

In order to be considered, submit your complete application by providing a cover letter and your resume in PDF format, via our career section. Please note that applications that are missing any of these documents may not be considered.

We will review completed application submission and you will be contacted if you are selected for an interview.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005, Marsh will provide a reasonable accommodation to employees and prospective employees to the point of undue hardship upon request and as required in respect of the individual’s particular restrictions and limitations. If you require a specific accommodation because of a disability or medical need, please contact reasonableaccommodations@marsh.com.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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More about this job

Responsibilities

Engage with stakeholders to document business requirements and analyze workflows for inefficiencies, decision points, handoffs, and automation opportunities. Support the design, testing, and refinement of AI-enabled workflows and prototypes, analyze structured data, and communicate findings and recommendations to technical and non-technical audiences.

Requirements

Applicants must be pursuing an undergraduate or graduate degree in computer science, data science, engineering, information systems, business operations, or a related field, and have basic Python familiarity and working knowledge of SQL and structured data. Strong analytical and problem-solving skills are required; relevant coursework, prompt engineering knowledge, clear communication, and interest in investment-related business domains are additional strengths.

Skills

Python
SQL
Workflow Analysis
Business Analysis
Requirements Gathering
Process Improvement
AI Workflow Design
Prompt Engineering
Structured Data Analysis
Data Quality Validation
Problem-Solving
Technical Documentation
Stakeholder Communication
Workflow Logic
Prototype Testing

Benefits

Professional Development Opportunities
Career Opportunities
Well-Being Benefits And Rewards

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Artificial Intelligence
Prompt Engineering
System Prompts
Structured Outputs
Workflow Design
Workflow Logic
Business Analysis
Business Requirements
Functional Requirements
Process Improvement
Process Automation
Structured Data
Relational Data Structures
Data Quality
Data Analysis
Prototype Tools
Testing
Decision Logic
Investments
Retirement
Investment Management
Trading Operations
Stakeholder Engagement
Business Process Analysis

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