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Business Analyst Co-op, Treaty Underwriting

Standort Toronto, Kanada Jobtyp Vollzeit Arbeitsmodus Hybrid Stellenlevel Praktikanten & Werkstudenten Job ID 10348 Unternehmen Munich Reinsurance Company of Canada Beschäftigungsart Unbefristet Kompetenzbereich Schadenbearbeitung und Underwriting
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POSITION: Business Analyst Co-op, Treaty Underwriting (2026 Winter - Toronto, 4 months)
LOCATION: Toronto, ON
DURATION: 4 Months
ANTICIPATED START DATE: January 5, 2026
NUMBER OF POSITIONS: 1
APPLICATION DEADLINE: October 29, 2025

Together, we engage with everything we have and are, to help humankind act braver and better.

As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance.  By turning uncertainty into manageable risk, we enable fundamental change.  We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions.  We dare to think big and are continuously innovating on behalf of our clients.

Munich Re is one of the top providers of reinsurance, primary insurance, and insurance-related risk solutions in the world.  Taking on risks worldwide of every type and complexity, the Munich Re Group and its business units are active in all lines of insurance.  Our consistent risk management, financial stability, and client proximity make us a much sought-after trusted business partner.  As a leader of risk transfer here in Canada, Munich Re strives to be the “go-to” reinsurance partner.  We offer a full range of traditional risk-transfer solutions through Property and Casualty, Treaty and Facultative reinsurance.  As risk evolves and changes, Munich Re focuses on innovation by developing products and services on the forefront of change.  Together with our clients, we will shape the future of our industry.

Our co-op placements provide you with an excellent opportunity to practically apply your classroom and technical training in the reinsurance industry. While with our team, you’ll be; coached by experienced industry professionals, exposed to Munich Re leadership, challenged as a valuable team member and contributor doing meaningful work, and mentored to develop a solid foundation that will help position you as a future leader in the field. 

Munich Re is operating under a hybrid working model, including an average of 2 days in office/week with the remaining days working from home. Students are expected to relocate to the city in which they work for the duration of their co-op/internship, so they can fully benefit from the full program integration.

Position Overview
As a Business Analyst Intern on the Treaty Underwriting team, you will play a key role in driving data-driven decision-making and operational efficiency. You will work closely with underwriters and cross-functional teams to build scalable solutions that enhance underwriting effectiveness through automation, analytics and AI. 

Job Responsibilities
Work term responsibilities include, but may not be limited to the following:

•    Develop and maintain business reporting and visualizations to deliver actionable insights and support strategic decision-making.
•    Automate and optimize data pipelines and system architecture to improve scalability, reduce complexity, and enhance performance.
•    Identify and resolve data quality issues, troubleshoot ELT processes, and address production-related challenges across systems.
•    Design and implement AI-powered solutions to improve underwriting efficiency and effectiveness.
•    Collaborate with underwriters to integrate Generative AI and Large Language Models into core underwriting workflows.
•    Assist underwriters in ingesting client submissions and transforming them into data products that support underwriting excellence.
•    Maintain and enhance technical documentation for existing infrastructure, and contribute to new documentation as tools and systems evolve.

Qualifications
First and foremost, we’re looking for well-rounded individuals who are professional, have great communication skills, and demonstrate the ability to build strong relationships with both internal and external clients.  You’ll be joining an energetic and goal-oriented team that uses a collaborative approach to working within all areas of the company, and focuses on achieving the greater objectives of Munich Re. 

Specifically, we’re looking for the following qualifications:
•    Currently pursuing an undergraduate degree in Data Analytics, Business Administration/Commerce, Economics, Computer Science, or equivalent program – and in healthy academic standing;
•    Solid foundation in programming (Python, SQL and R) and a demonstrated understanding of relational databases
•    Proficient in Microsoft Power Platform, particularly in: Power BI, Power Automate;
•    Proficient in Microsoft Office Suite, particularly in: Excel, Word, PowerPoint, and SharePoint;
•    Excellent communication skills – spoken & written, formal/informal presentation;
•    Experience with Azure Databricks and Azure DevOps (including Git) is an asset;
•    Mathematical aptitude;
•    Exhibits solid organizational skills and rigorous attention to detail/accuracy in a fast-paced environment – particularly in relation to data entry;
•    Proven capability to multi-task and successfully self-manage multiple priorities and projects of various significance;
•    Effective working both independently and as part of a greater team;
•    Demonstrates leadership qualities – clear-thinking, curiosity, integrity, and drive;
•    Preference for candidates who have relevant work experience, having already completed at least one placement (or approx. 4+ months in-field experience).

Note that this opportunity is open to both current students who will be returning to in-class studies upon the completion of the internship, as well as recent graduates who have obtained their undergraduate degree within the past year.

Please note that only candidates who are selected for interview will be contacted directly.  
We thank all candidates for their interest.

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