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Job Description:

About Swiss Re

The Swiss Re Group is one of the worlds 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 Groups overall mission

About the Team

The Digital & Smart Analytics Services unit supports Swiss Res business functions in developing state of the art technology solutions using data science for our business and strategic initiatives We are a global team of highly skilled professionals in machine learning, predictive modelling, geodata modelling & location intelligence, big data and text analytics The team provides services in the areas of

Analytics Consulting In collaboration with business teams identifying significant business opportunities and defining the business cases
Analytics Delivery (Modelling & Prototyping) Defining the most appropriate machine learning approach through prototypes or pilot solutions
Analytics Solution Enabling Implementing, improving and maintaining analytics solutions to tackle business issues

About the Role

Strengthen our standards and best practices for the development of machine learning models in insurance
Formalize best practices guidelines for machine learning models in insurance
Develop hands-on training for machine learning best practices
Contribute to data analytics projects
Support on topics such as Data Ethics and Regulation in the area of ML/AI from a quantitative perspective
Available for 4-6 months for this 100 PERCENT role

About you

Bachelor or Master degree in a quantitative discipline eg mathematics, statistics, computer science, engineering
Knowledge of Python and/or R
Good educational knowledge in statistical modeling and/or machine learning, with finance/insurance focus as a strong plus
Interest in non-quantitative aspects wrt to machine learning, ie governance and regulation
Fluent in English, every other language is a plus

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : CRM/CallCentres/BPO/ITES/Med.Trans
Functional Area : Teaching/Education
Role : Teacher
Salary : As per Industry Standards
Deadline : 18th Apr 2020

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