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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
- Supporting AI projects (Machine Learning and GenAI) by actively collaborating with project teams
- Assisting 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
- Assisting 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
- Assist with global technology lifecycle projects with an emphasis on local client requirements
- Troubleshoot and triage complex issues spanning across multiple IT disciplines
- Contribute strong documentation skills for initiatives impacting the support teams and clients
- Work with Service Now tool to manage incidents related to workplace and voice technology
- Designing and analyzing reports and dashboards to meet departmental needs and requirements
- Supporting or leading small-scale strategic projects as requested
- Assisting senior team members in global co-ordination activities including formalizing agreed actions and key decisions
- Assisting with global financial planning activities
- Assisting in development efforts regarding IT projects, requirements, or business needs
- Assisting 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
- Excellent communication skills – spoken & written, formal/informal presentation
- 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
Skills
- AI projects (Machine Learning and GenAI)
- Developing secure AI-enabled applications
- Integration with LLMs
- Python programming
- Databricks
- Data analysis
- Technology solutions analysis
- Architecture repositories and inventories maintenance
- Internal applications and AI-powered tools maintenance, testing, and enhancement
- Enterprise-scale technology platforms
- Cloud services
- Data analytics
- AI initiatives
- Global technology lifecycle projects
- Troubleshooting complex issues
- Documentation
- Service Now tool
- Incident management
- Report and dashboard design and analysis
- Global co-ordination activities
- Financial planning
- IT project development
- Team standardization processes
Location
- Toronto, ON
Work Type
- Hybrid
Experience Level
- Co-op
- Student
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 work term
- Mentorship and networking opportunities with women leaders
- Professional development experiences
About the Company
- Munich Re is the world’s leading reinsurance company with more than 40,000 employees in over 50 locations globally.
- We enable fundamental change by turning uncertainty into manageable risk.
- We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions.
- We are continuously innovating on behalf of our clients.
- Our data, technology, and 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 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.