Job Detail

GEO Technical Product Manager

Inseriert am: 21.09.2018
Location: 

Zurich, ZH, CH


 


GEO Technical Product Manager 



About Swiss Re


The Swiss Re Group 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. It anticipates and manages risk – from natural catastrophes to climate change, from ageing populations to cybercrime. The aim of the Swiss Re Group is to enable society to thrive and progress, creating new opportunities and solutions for its clients. Headquartered in Zurich, Switzerland, where it was founded in 1863, the Swiss Re Group operates through a network of around 80 offices globally. It is organised into three Business Units, each with a distinct strategy and set of objectives contributing to the Group’s overall mission.


 


About the Role


Do you have strong analytical and project management skills? Are you excited by the prospect of applying state of the art technologies to create tangible commercial value? Are you a person hungry for personal and professional growth?


 


If yes, we would love to get to know you. In the role as GEO Technical Product Manager, you will lead several projects in close cooperation with Reinsurance Solutions, IT and the Underwriting Community. You will play a key role in providing geographical information to Swiss Re's businesses and clients; information that is critical for correctly assessing and costing risks. You will work closely together with a team of 5 GIS-professionals in Bangalore and an IT development team in Minsk, ensure geographical data is available to the businesses as required and contribute to state-of-the art geographical tools & services. You will inspire commitment, attract and nurture geo talent, promote teamwork and deliver results.


 


Swiss Re embraces diversity and equal opportunity. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, and skills.


 


We collaborate in a flexible working environment, providing all of our employees with a compelling degree of autonomy to decide how, when and where we work most effectively.


 


About the Team


We are the Costing Methods and Analytical Services (CMAS) team within Underwriting Strategy in Group Underwriting. We are responsible for



  • delivering P&C costing methods, models and infrastructure

  • performing underwriting related projects with strategic implications for the Group

  • reviewing costing parameters developed decentralized to ensure quality and adequacy

  • contributing to R&D with the goal to improve Swiss Re's risk selection, building unrivaled value generating services, or positioning Swiss Re as thought leader


We have two main operational areas of responsibility: maintaining the Economic Valuation Model (EVM) methodology and infrastructure for P&C as well as centrally providing Geo-related services. The team regularly collaborates with the underwriting functions across the company, Finance and Risk Management.


 


About You



  • University degree or equivalent in Geoinformatics, Computer Science or Engineering and at least five years of relevant work experience

  • Experience with ESRI and open source GIS tools, Python, SQL and other programming languages, as well as processing of large geographical datasets

  • Strong analytical skills and problem solving skills. Ability to focus on details without losing track of the bigger picture

  • You have proven communication skills, you feel comfortable managing a remote teams, coaching and mentor the talent.

  • Strong project management skills, leadership experience with and without formal authority

  • You naturally brings individuals together as needed, across countries and functions

  • You love working independently

  • You navigate ambiguity in a constantly changing environment with ease. You have the strength of character to stick to key principles and maintain integrity in challenging moments

  • Experience with analytical tools, database software and the development of models is an advantage

  • Programming experience in a modern programming language is a plus

  • Ability to express yourself clearly in one-on-one conversations and when speaking in front of groups



Keywords:  
Reference Code: 78709 


 

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