Underwriting Data & Analytics Specialist (m/f/x/d, 80 - 100% Hybrid)

Are you passionate about Data and Analytics? You love to combine the two and build impactful products for others so they can act upon the generated insights? Then we have an exciting opportunity for you to apply your skills in a reinsurance context and shaping the transformation of treaty underwriting.  
 
About the Role

 As a member of our team, you will contribute to our innovation pipeline and be able to work first-hand with a strong and mature data asset and world-class analytical tools that give us the flexibility to experiment. 
 
Key responsibilities: 
•    Translate business problems into actionable data & analytical products: ideate, business analysis, change management and roll-out activities.
•    Support larger initiatives and projects by providing support in technical (data engineering/analytics business (business analysis/requirement engineering) components, serving as a liaison between te and business stakeholders.  
•    Support the Underwriting community in increasing data literacy and data skill sets. Promote and push user adoption of our product suites. Be the port of call for ad-hoc insights and analytics. 
•    Continuously improve our data asset with our tech counterparts. Enhance our data quality and data governance. 
 
About the Team

Our Team – Treaty Underwriting Data and Analytics within Underwriting Transformation is a global operating team located in Zurich, Munich and Bangalore. The key objective of our still young team is to ideate, build and run data-analytics solutions in close collaboration with key partners in Underwriting and IT.
With these partners we shape the future of a data enabled underwriting, ensuring the power of data is leveraged at the right moment in time of decision making. Effective collaboration, transparency and agility are core values to us. 
 
About You

You have a track record on achieving results and translating ideas into tangible Data and Analytics products. You build on your experiences, but you never stop learning about technology and business environment. You can communicate clearly to different audiences and naturally bring individuals together across countries and functions.

This position is open to candidates of varying experience levels, and the role seniority will be determined by the Individual's expertise and experience.
      
•    University degree with strong quantitative background in spheres as actuarial science; mathematic statistics; physics; engineering; business or economics.
•    At ease in a modern programming language (e.g. Python, SQL). Experience with Palantir as Data & Analytics platform is a plus. 
•    2 or more years of existing experience in insurance/reinsurance underwriting, actuarial field or data analytics product building.  
•    Excellent analytical and problem-solving skills, storytelling with Data, as well as the ability to focus on details without losing track of the bigger picture.
 
For more senior candidates/role you have,
•    Product Owner experience to create and continuously improve Data and Analytics products.
•    (Agile) Project experience with focus on data analytics project management.
 

 

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. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

 

 

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