Location: 

Hong Kong, HK, HK

 

Analytics Specialist 

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

Are you ready for a new challenge?

We are seeking for a highly motivated and experienced data scientist with a real passion for technology and a great digital savviness to join our team. You will be located in Hong Kong and be part of team that is responsible for the development of the analytics prototyping and solutions services in Swiss Re's APAC region.

Your main responsibilities

  • Consult business teams in the ideation for ground breaking analytics services and develop solid business cases
  • Use state of the art data science platforms and tools to validate and implement advance analytics projects across the region
  • Promote digital & smart analytics knowledge, skills and services through compelling presentations internally and externally
  • Continuous learning on specific advance analytics expertise topics and active participation in research and elaboration of thought leadership on application of AI for the insurance industry

About the team

Join a dynamic and international team of data lovers

The Digital & Smart Analytics Services unit supports Swiss Re's business functions in developing state of the art technology solutions using advanced analytics and big data processing from structured and unstructured data for our business and strategic initiatives (e.g. Solution Groups, Product Development). We are a global team of highly skilled professionals in advanced analytics techniques, data & text mining and visual 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 technical solution approach and validating the scenarios through prototypes or pilot solutions.
  • Analytics Solution Enabling: Implementing, improving and maintaining analytics solutions to tackle business issues.

About you

Do you have what it takes for this opportunity?

Education and experience requirements

  • PhD with at least two years of experience or Master with more than four years of experience in data analysis/data science role. Degree should be in quantitative fields.
  • Prior experience in finance or consulting preferred. Experience in insurance industry is an asset.

Expected areas of skills

  • Solid and in-depth understanding of data science and related areas, especially machine learning.
  • Proven track records of data science project delivery with tangible business impact. Experience in working with large and unstructured data (e.g. text or image) preferred.
  • Expert knowledge with Python and/or R. Experience in front-end development is a plus.
  • Fluent in reading, writing, and speaking Chinese (Mandarin) and English.
  • Excellent communication skills. Ability to communicate effectively with the audience in mind, both orally and in writing, and ability to build rapport across functions within and outside the organisation.
  • Agility and flexibility with strong dedication for success.
  • Keen to travel across the region to support implement of advance analytics projects

 

If you think that you have the right knowledge, experience and personality for this job opportunity, you might be a perfect fit to our team and we look forward to receiving your application.