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Location: 

Zurich, Zurich, CH

Data Engineer (80 - 100%)

 


About Swiss Re
 

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?

 

About the Role & Team

 

We are a very dynamic and diverse team, and we find collaboration, transparency and agility very important. Sharing these values is a key selection criteria. Our team is spread across the world, your role will be based in Zurich. We advise on major underwriting decisions and further their implementation in costing new business. We assist the deployment of the company 's capital to the most promising underwriting risk pools. There is close collaboration with colleagues from underwriting, finance and risk management functions. Further responsibilities are:

 

  • Definition and improvement of the costing methods, including the review, calibration and deployment of costing parameters.

  • Performance of underwriting projects with strategic implications for Swiss Re

  • Advancement of our company´s thought leadership

 

You would be the part of our Costing Methods and Analytical Services (CMAS) team within Swiss Re Institute's Portfolio Underwriting unit. Together with a team of several data engineers and actuaries you will build the single source of truth for data for Swiss Re's group functions. This will enable Swiss Re to base decisions on one data asset. Also, you will work on specific use cases in collaboration with several other departments to promote the adoption of the data asset. The CMAS team performs many of the analytical tasks on a state-of-the-art data platform, hence your affinity to coding is welcome.

 

About You

 

Are you up for the challenge? If yes, we would love to get to know you!

 

  • Strong communication skills and you naturally bring individuals together as needed, across countries and functions.

  • Very strong analytical, conceptual and problem-solving skills, as well as the ability to balance speed and perfection

  • Continuous thrive for improvement and high level of integrity

  • University degree with a quantitative background

  • Sophisticated user of Python or Java

  • Previous experience with relational databases and data modeling

  • Basic understanding of distributed systems

  • Experience with Conda, Parquet, Pandas, Numpy is a plus

  • Preferably basic knowledge of Javascript or Typescript

  • Preferably hands-on experience with Apache spark

  • Preferably have worked in an agile set-up with a team spread over different locations in (Re-)Insurance.

  • You enjoy working independently

 

We are looking forward to your application!

 

Swiss Re is an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – in all functions and regions at Swiss Re. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Keywords:  
Reference Code: 95944 

 


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