Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

This co-op placement within the Global IT team offers an excellent opportunity to practically apply classroom and technical training. Participants will be coached by experienced professionals, exposed to leadership, challenged as valuable team members, and mentored to develop a foundation for a future IT career. The program focuses on developing essential skills and competencies as an IT professional.

Responsibilities

• Support AI projects (Machine Learning and GenAI) by actively collaborating with project teams.
• Assist in the development efforts for building secure AI-enabled applications.
• Build integration with LLM’s leveraging strong programming skills (python).
• Build data pipelines leveraging python programming and Databricks.
• Assist in performing analysis of data to derive behaviors and patterns.
• Support the analysis of current technology solutions and help maintain architecture repositories and inventories.
• Assist the team with maintaining, testing, and enhancing internal applications and AI-powered tools to support global users.
• Collaborate with architects and technology teams to gather information about applications, systems, and data flows.
• Help create architecture artifacts including presentations, reports, and other project documentation.
• Support activities related to application portfolio management and technology lifecycle tracking.
• Assist with reviewing and organizing architecture standards, guidelines, and best practices.
• Gain exposure to enterprise-scale technology platforms, cloud services, data analytics, and AI initiatives across Munich Re.
• Design and analyze reports and dashboards to meet departmental needs and requirements.
• Support or lead small-scale strategic projects as requested.
• Assist senior team members in global co-ordination activities including formalizing agreed actions and key decisions.
• Assist with global financial planning activities.
• Assist in development efforts regarding IT projects, requirements, or business needs.
• Assist with various global team standardization efforts and setting up of associated processes.

Requirements

• Must identify as a woman to be eligible for participation in the Women in Tech Program.
• Currently pursuing an undergraduate degree in Information Technology, Computer Science, Computer Engineering, or a related technology-focused field.
• Must be in good academic standing.
• Basic understanding of networking (OSI layer), especially application layer protocols.
• Understanding of computer architecture and low-level machine code concepts.
• Ability creating simple programs to automate tasks using high-level programming languages as well as scripts.
• Demonstrated ability to create and manage positive professional relationships with good client service acumen.
• Proven capability to multi-task and successfully self-manage multiple priorities and projects of various significance.
• Exhibits solid organizational skills and rigorous attention to detail/accuracy in a fast-paced environment.
• Demonstrates leadership qualities – clear-thinking, curiosity, integrity, and drive.
• Proficient in Office 365 tools.
• Submit a copy of your unofficial transcript with your resume when applying.

Skills

• AI projects (Machine Learning and GenAI)
• AI-enabled applications
• LLM integration
• Python programming
• Databricks
• Data analysis
• Technology solutions analysis
• Architecture repositories and inventories
• Internal applications and AI-powered tools
• Application portfolio management
• Technology lifecycle tracking
• Enterprise-scale technology platforms
• Cloud services
• Data analytics
• Reporting and dashboard design
• Global co-ordination
• Financial planning
• IT project development
• Team standardization
• Networking (OSI layer)
• Computer architecture
• Low-level machine code concepts
• Programming for task automation
• Excellent communication skills – spoken & written, formal/informal presentation
• Office 365 tools

Location

• Toronto, ON

Work Type

• Hybrid
• Co-op

Experience Level

• Co-op
• Undergraduate degree pursuit

Education Level

• Undergraduate degree in Information Technology, Computer Science, Computer Engineering, or a related technology-focused field

Salary/Compensations

• $1,200 to $1,500 per week

Benefits

• $1,500 (net) stipend upon successful completion of their work term, in addition to regular co-op wages.
• Mentorship and networking opportunities with women leaders.
• Professional development experiences.

About the Company

• 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.
• Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry.
• We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance.

Equal Opportunity

• Munich Re is committed to providing a work environment that is inclusive and free of employment barriers and discrimination.
• Accommodations will be made for qualified applicants with a disability throughout the recruitment process.
• If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please contact AODARequestHR@munichre.ca as soon as practical so that suitable accommodations can be arranged.