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Data Scientist - Quantitative Expert

Job Description

A prestigious Multinational Reinsurance Company search a:

Data Scientist – Quantitative Expert

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

Ideally, you have:
• Master's or Ph.D. in quantitative discipline, e.g., mathematics, actuarial science, physics, statistics, computer science, engineering
• 3 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#)
• Solid 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 mandatory.

Site: Milan

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Valentina Caputo
+39 02 80 60 601