Skip to main content
Get Job Alerts Saved Jobs View All Jobs

Internship Data Analytics - Focus: Benchmark Risk & Performance Analysis (m/f/d)*

Location Munich, Germany Job type Full-Time Work mode On-site Job level Internship & Working Student Job ID 12754 Company Munich Re Employment type Temporary Area of expertise Asset & Investment Management
Apply Now

The Group Investment Management (GIM) division is responsible for managing the proprietary Munich Re and ERGO investment portfolio. Within GIM, the Sustainability in Investments team acts as a competence center in the area of sustainability under the Group CIO, developing the group-wide sustainability strategy for investments, steering and monitoring process integration, target achievement and stewardship processes, as well as contributing to sustainability-related publications and legal entity advisory.

Measuring ESG performance can be complex—and this is where you come in. As a Data Analytics Intern, you will support our Sustainability in Investments team by developing data driven approaches to quantify ESG related investment performance. You will work with real investment data, build analytical tools, and help shape how we evaluate sustainability outcomes across our portfolio.

What’s in it for you?

  • A meaningful project with real analytical responsibility
  • A trustful work environment
  • Mentoring by experienced sustainability and investment professionals
  • Exposure to ESG frameworks, performance analytics, and quantitative methods
  • A chance to expand programming and data skills in a real investment contex

Your Job

  • Analyze benchmark structures, return profiles, and risk metrics
  • Clean, prepare, and validate datasets for investment and sustainability analysis
  • Program scripts and analytical workflows (e.g., in Python, R, SQL) to automate and scale insights
  • Develop clear, intuitive visualizations for internal stakeholders
  • Support ad hoc data requests and help improve internal data processes

Your Profile

  • Ongoing studies in Data Science, Finance, Economics, Mathematics, Statistics, or a related field
  • Strong analytical mindset and passion for working with complex datasets
  • Programming skills in SQL, R, or Python and solid Excel capabilities
  • Familiarity with common data analysis tools and libraries (e.g., pandas, NumPy, matplotlib)
  • Ability to interpret quantitative results and communicate them clearly
  • Structured, independent, and reliable working style
  • Curiosity, eagerness to learn, and interest in sustainability and investment analytics

Students from countries outside the EU require a German residence-/work permit. The first master's degree may not have been completed before/during the entire internship.'

About us

As the world's leading reinsurance company with more than 16,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel. 

Together we embrace a culture where multiskilled teams dare to think big. We create the new and the different for our clients and cultivate innovation. 
Sounds like you? Push boundaries with us and be part of Munich Re. Our employees are our greatest strength. That’s why we offer them a wide range of benefits. You can find some examples below. 

Unlock your potential

  • Diversity, Equity & Inclusion: we embrace the power of differences and are convinced that diversity fosters innovation and resilience and enables us to act braver and better.
  • Continuous Learning: we believe that continuous learning is a key differentiator and critical for building new skills and accelerating growth.
  • Career Mobility: we actively support career mobility, and our strong global and regional presence offers a wealth of career growth opportunities for you.

Münchener Rückversicherungs-Gesellschaft
Silke Rößler / Oksana Kern / Nina Hartmuth • Coordination Students Program

* Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunity employer. Severely disabled candidates will also be prioritised, if equally qualified.

Apply Now

Your Benefits

With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.

Competitive Salary

We provide fair and competitive compensation that reflects your performance and commitment.

Company performance-based Incentives

In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.

Recognition and Special Rewards

We recognise outstanding individual contributions through a variety of targeted rewards and incentives.

Retirement Planning

We support your long-term financial wellbeing with retirement solutions aligned with local regulations.

Inclusive Workplace Culture

We foster a respectful, inclusive, and values-driven environment.

Learning & Development

We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.

Work-Life-Balance

Supporting your ability to balance family, leisure, and your career.

Health & Wellbeing

We support your physical and mental health through a range of programs and activities in each location.

See the area you’ll be working in

Get an idea of what your daily routine around the office can be like.

Explore Location

This may interest you

Featured Jobs

View jobs to show jobs list.

Save jobs to show jobs list.

View All Jobs

Activate your job alert

Looking for the ideal professional challenge? Stay informed with the Munich Re Group job alert service: Munich Re, ERGO Group and MEAG offer a wide range of opportunities. Once you have set up the service, you'll receive automatic email updates on new job vacancies that match your search criteria.

Interested InPlease select a category, location, and/or company option. Click “Add” to create your job alert. You can add more than one combination to your alert.

By signing up, I acknowledge that I have read the privacy policy, and I wish to receive email communications.

To complete the Job Alert, your e-mail address, and the filter criteria you selected will be processed. The processing of the data is exclusively for the purpose of sending the Job Alert e-mails. With deletion of the Job Alert, your data will also be deleted. You can find further information about our imprint here: Privacy Policy.