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

Consultant Business Analytics (m/f/d)*

Location Munich, Germany Job type Full-Time Work mode Hybrid Job level Professional Job ID 11039 Company Munich Re Employment type Regular Area of expertise Data, BI & Analytics
Apply Now

We are looking for a Consultant Business Analytics (m/f/d)* for the section Biometric Analysis and Insights.

The team is part of the Risk Intelligence and Knowledge Systems unit of Munich Re Life & Health division in Munich, which serves as a regional analytics centre (RAC) for Europe, UK and Latin Americas. The department is responsible for data and AI strategy development and execution, biometrics insights and knowledge modelling for more than 50 markets, for 500+ cedents, and 1,500+ active reinsurance contracts. We strategically invest in scalable, easy-to-use data and knowledge technologies to create and operationalize high quality products and services using structured and unstructured data, serving both internal and external clients. We believe that better data and advanced analytics can strengthen our reinsurance core and service business and will be the foundation for the business models of tomorrow.

We are looking for a highly motivated and ambitious individual to join our team as a Consultant Business Analytics for the Life & Health MUC Hub – the hub is responsible for all Life and Health Reinsurance business in Continental Europe (w/o Iberia, Italy, Malta) and Israel. The position will report into the Head of Section, Biometric Insights and Analysis.

You will ensure high quality of data management, experience studies, biometrics portfolio analysis, best estimate derivation and pricing support with the focus on traditional statistical methods, actuarial models, and biometrics insights. Join our team of industry experts and contribute your actuarial and systems’ expertise to make a significant impact on the life and health reinsurance sector.

Your Job

  • Overseeing and managing the comprehensive portfolio data provided by cedents, extracting insights while efficiently handling and integrating seriatim data files from both internal and external sources
  • Support design, implementation and operations of the IT infrastructure and data management systems of the Life & Health division in Munich
  • Automating the data processing of recurring data deliveries (incoming and outgoing) by designing and implementing ETL processes (ETL = extraction, transformation, loading)
  • Performing data analyses of incoming data files (“exploratory data analysis”) to discover data patterns; understanding, visualizing, and summarizing the data; estimating the quality and discovering oddities and outliers
  • Providing data to downstream processes (pricing, underwriting, medical functions, claims, experience studies, valuation), assuring a very high-quality standard
  • Using traditional and modern statistical methods for the purpose of actuarial analysis in life and health (re)insurance, in particular A/E’s, GLMs and decision-tree ensembles
  • Conducting experience studies and other analyses along the whole (re)insurance value chain in close cooperation with subject matter experts aligning the data driven results with their expert judgement to develop a holistic assessment
  • Identifying future trends that are relevant for actuarial analytics in life and health insurance, and turning insight into value generation through development and continuous enhancement of methods and tools
  • Driving and contributing to cross-functional actuarial analysis and analytics initiatives in close collaboration with interfaces (Client Management, Best Estimates, Pricing, Business Development, Medical, Underwriting, Claims, regional Risk Intelligence and Knowledge Systems team)
  • Supporting actuarial processes throughout the whole life and health (re)insurance value chain
  • Driving and contributing to the actuarial structuring and pricing processes of reinsurance treaties e.g. by using actuarial modelling software
  • Advising on and contributing to possible solutions to optimise reinsurance for both Munich Re and our clients
  • Providing actuarial and analytical expertise to support the development of new initiatives, white label insurance products and projects within the business unit's strategic framework
  • Representing the team and our key topics vis-à-vis internal and external stakeholders, for example through presentations at client meetings and events or training seminars

Your Profile

  • Excellent degree in computer science, mathematics, statistics or similar degree
  • Excellent analytical and statistical skills combined with practical experiences in tools like R, Python, Power BI and the willingness to continuously improve your skills
  • Proven practical multi-year experience with data analytics methods, including multivariate methods such as GLMs
  • Practical experience implementing ETL processes for data imports and exports
  • Very good database knowledge (database design, SQL, stored procedures, administration)
  • Very good knowledge of modern statistical and machine-learning methods
  • Very high level of motivation paired with the capacity to take responsibility and work independently
  • Professional experience in actuarial department of a life or health (re)insurer is desirable
  • Actuary or similar qualification or willingness to obtain such qualification
  • Strong presentation, consulting, and project management skills
  • Strong command of spoken and written English and German

Application Instructions

Please apply through our online portal and upload your CV, as well as your academic reference letters, including school certificates, graduation certificates and transcripts of record for any degrees. If applicable, please also submit reference letters from any previous employers or certificates from any other qualifications you may have. We recommend writing a cover letter to tell us more about why the position and Munich Re is of interest to you.

About us

As the world's leading reinsurance company with more than 11,000 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.

Rewards & Recognition

  • Competitive salary: appropriate compensation for your high level of commitment.
  • Retirement provision: state of the art in-house pension solutions.
  • Work-life balance: promoting the compatibility of family and work in addition to overall work-life balance.
  • Health management: focus on your physical and mental health far beyond legal requirements.
  • Hybrid working: living the best of both worlds – we offer you a very flexible approach as well as the opportunity to work
    from abroad on an occasional basis.

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

Münchener Rückversicherungs-Gesellschaft

Lisa Schneider
Consultant Talent Acquisition

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.