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Milano, IT

Quantitative Specialist


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


Technological developments like autonomous cars and telematics solutions are having a big impact on Motor insurance. To play a meaningful role in this and other innovative areas, a Product and Technology Hub has been set up within Swiss Re, building telematics products and developing new technologies, to shape future frontiers of mobility.

Do you have a real passion for innovation and new products definitions? Do you want to help us set as leader in the telematics market?

We are looking for highly motivated people to join a rapidly growing team of data scientists and insurance professionals, responsible for developing product concepts and scoring capability for telematics-based policies and the automotive sector. You will have the opportunity to work with colleagues from various countries, background and experience who join efforts to develop innovative telematics solutions, in tight collaboration with internal professionals and clients.

Are you ready to take the challenge?


You will:

  • Apply advanced statistical techniques (supervised and unsupervised) to build, maintain, and improve predictive models to steer decision processes;

  • Support data engineers and IT in developing the in-house big data telematics platform;

  • Perform cluster analysis, parameter testing and selection in risk premium scoring;

  • Test and validate hypotheses using what-if scenario approach;

  • Collaborate with stakeholders/clients in identifying the business requirements and deliver new and tailored insurance solutions


We are excited to get to know you if you:

  • Are focused on delivery time and quality

  • Are agile in adapting analysis techniques to manage different scenarios

  • Are keen on task prioritization and organization

  • Are able to work independently, under pressure and on multiple and conflicting priorities


About You


  • Master's or Ph.D. in quantitative discipline, e.g., mathematics, actuarial science, physics, statistics, computer science, engineering

  • 2 or more years of relevant quantitative and qualitative analysis experience (Ph.D. assumed as acquired experience)

  • Advanced use of statistical software (e.g. Matlab / R / SAS) and strong programming skills (e.g. SQL / Python / C++/ C#)

  • Knowledge in machine learning and cloud base computing (Hadoop / Spark)

  • Strong skills in statistical analysis, forecasting/predictive analytics, multivariate modelling with both large and limited databases


Constitute a plus:

  • Experience with big data extraction, processing and analysis

  • Experience in financial market (primary motor insurance, bank, consultancy)

  • Knowledge in the fields of telematics and automotive

  • High degree of flexibility and can-do working style

  • Practical and solution oriented approach

  • Great teammate with communication and interpersonal skills


Fluency in English is required. Other languages are a plus (e.g. Italian, French, German)


We are 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 – at all levels and in all functions and regions. 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 provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

Reference Code: 109966 


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