Data Engineer (80-100%)

Location: Zürich, ZH

*** Mention DataYoshi when applying ***

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 highly 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 several other data engineers and actuaries you will build the single source of truth for data of 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

  • Strong ability to analyse data and business landscape while applying conceptual and problem-solving skills

  • Excelling in stakeholder management and communicating with internal clients

  • Continuous thrive for improvement and high level of integrity

  • University degree with a quantitative background

  • Experienced in using Python and/or SQL

  • Preferably experienced with relational databases and data modeling

  • Previous touch points with the (Re-)Insurance industry are a plus

  • Hands-on experience with Apache Spark and a basic understanding of distributed systems is a plus

  • You enjoy working independently and learning new technologies

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

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.

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

*** Mention DataYoshi when applying ***

Offers you may like...

  • UnitedHealth Group

    Sr. Data Engineer, Analytics - Telecommute
    Eden Prairie, MN 55346
  • Ivy Tech Solutions inc

    Mortgage Data Engineer
  • Piper Companies

    Data Engineer - 100% Remote
  • Ascent Global Logistics

    Junior Data Engineer
  • Medidata Solutions

    Senior Data Engineer