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12.01.2021

Lead Data Engineer (80 - 100%)

  • 8057Zurich
  • Teilzeitstelle 80-100%

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Lead Data Engineer (80 - 100%)

Location: 

Zurich, Zurich, CH

Lead 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. Your key responsibility is to manage a team of several data engineers and actuaries to 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. You will advise on which specific use case we should focus on while building the unified data model in collaboration with several other departments. Also, you will be responsible to promote adoption of the data while making the data model scalable in terms of access rights and performance.

Furthermore, you will analyse current market and portfolio developments and come up with sophisticated intelligence about future trends which will influence Swiss Re's capital allocation. 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.

  • A few years of data analytics and project management experience in (Re-)Insurance industry, preferably with project teams in different locations in a scrum setting.

  • Solid understanding of Python or other programming languages

  • Experience in building new data assets and ontologies welcomed

  • Ability to craft a strong product vision

  • You enjoy working independently

  • Being a qualified actuary (e.g. FIA, SAV) is a plus

 

We are looking forward to your application!

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, including gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

 

Swiss Re offers modern work models and attractive work places that allow all employees to adapt to changing work preferences and life phases.


Keywords:  
Reference Code: 95595 

 


Job Segment: Underwriter, Risk Management, Actuarial, Accounting, Data Modeler, Insurance, Finance, Data

Arbeitsort:

8057Zurich