Product Management, NA Integrated Analytics (2027 Summer - New York)

Munich Re•New York, NY

9d•$44 - $54•Hybrid

About The Position

This internship offers an excellent opportunity to practically apply classroom and technical training in the reinsurance industry. Interns will be coached by experienced industry professionals, exposed to Munich Re leadership, challenged as valuable team members doing meaningful work, and mentored to develop a solid foundation for future leadership in the data science field. The role involves developing solutions for easier access to insurance and healthier lifestyles, building scalable products with best security, ML, and DevOps practices, researching bias and fairness, disease models, and NLP. Interns will also discover diverse careers with leadership opportunities and benefit from flexible remote/in-person work with a focus on work-life balance within a fast-growing team that values transparency and diversity.

Requirements

Undergraduate or Graduate degree in Business, Economics, Computer Science, or equivalent
Strong analytical, organizational, and time management skills
Ability to express complex ideas clearly and facilitate communication between clients and internal teams
Familiarity with cloud computing platforms (e.g., Microsoft Azure, AWS)
Proficient in Excel, PowerPoint, Word, Power BI, SQL
Familiarity with modern software development lifecycle, the product operating model, and product management techniques
Solid communication skills; spoken & written, formal/informal presentation
Resourceful and able to learn quickly
Proven ability to thrive in a dynamic environment
Current student returning to in-class studies upon completion of the internship

Nice To Haves

Previous exposure to insurance or financial services environment

Responsibilities

Gather a deep understanding of customer challenges through research and interaction with clients and internal partners; translating their complex problems into actionable questions for the team
Assist with prioritization and execution of the product backlog, ensuring delivery of high-impact features that strengthen our market position
Partner closely with engineering teams, particularly the technical lead, to ensure successful implementation of product initiatives
Collaborate across departments (Sales, Customer Success, Engineering) to align on product direction and manage dependencies
Collaborate across Munich Re functions to understand how our solutions address business needs
Network with related groups at Munich Re