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Location: 

Armonk, NY, US

 

interns@swissre - P&C Analytics Solutions Intern 

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.

 

We are looking for an intern to support the P&C Analytics Solutions team for summer 2019, from June 2019 to September 2019. You will support the team with analytics capabilities and machine learning techniques to derive tangible business insights from structured and unstructured data sources.

The main responsibilities of the internship will be:

  • Passionate about prototyping new creative analytics solutions from concept to working software
  • Perform quantitative analyses on insurance market data to monitor developments, identify trends and gain superior insights
  • Preparation, aggregation and manipulation of data from a variety of internal and external sources, requiring a high degree of "data-savviness" and a flair for financial industry.
  • Handle potentially incomplete data sets, complementing by out-sourcing internal/external information
  • Produce interactive visuals with Tableau or use analytical tools to generate insight, recognize patterns and communicate your findings
  • Other tasks in the many quantitative areas where our team operates, depending on applicant's background and interests

About the team

The P&C Analytics Solutions team channels and develops solutions and services for our clients across the (re)-insurance value chain. Our clients' needs are at the heart of what we do, as we make sure that our solutions and services help our clients grow and make commercial sense. It is within the mandate of the team to be at the forefront of analytics understanding by driving the development of novel solutions through the combination of risk knowledge and data science capabilities. We are a global team that thrives via our dedication and hard work that would provide you with excellent opportunity to learn.

About you

  • You are in your Bachelor or Master studies, showing strong results in a quantitative discipline (computer science, natural sciences, applied mathematics / statistics, engineering, econometrics)
  • Desire to build your career
  • You show love for handling data and excited to discover new possibilities
  • You have some experience with programming languages, such as python, R, etc
  • You provide good knowledge of Excel
  • Have you already been working with Linux servers
  • You are familiar with relational databases and SQL
  • You demonstrate strong analytical skills and hands-on experience in analytics
  • Experience with Tableau or similar visual tools as well as with software development is a plus

Social skills & working style:

  • Dedicated and well-organized
  • Good interpersonal skills and ability to clearly communicate your ideas
  • You are ambitious and able to adapt according to deadline requirements
  • Open and curious, quick-minded, fast-learner, creative
  • You are committed teammate with a 'can do' attitude, who strives in high pace environment
  • Ability to work in an interdisciplinary and multi-cultural environment
  • Proficient in English (written and spoken)

 

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

 

 

 

 


Nearest Major Market: White Plains
Nearest Secondary Market: New York City