Marsh People and Investments - Strategic Implementation Co-Op - Toronto - Winter 2027
Full-time
Marsh McLennan
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.
- 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.
- 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.
- 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.
Vacancy posted 2 days ago
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