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Data Scientist - Fintech Virtual Banking

Full-time

Posted 

Job Description


Your new company

Is a Virtual Bank here in Hong Kong and they will be one of the first companies to join this space. They are looking for an energetic and innovative Data Scientist to help lead their growth in in this new area.

Your new role

In this role you will be responsible for

  • For using machine learning algorithms to build predictive models focused on retail banking products
  • Using data and analytics to draw insights into customers needs and wants, from these insights you will be able to create better products for the customers
  • There will be some work with helping to build the data infrastructure and building some data pipelines
  • Working with large amounts of raw data


What you'll need to succeed

As the successful candidate you will have:

  • 3/4+ years working experience plus a PhD or 8+ years working experience with a Master's in Statistics or Mathematics
  • Experience working with large amounts of raw data will be necessary
  • Previous machine learning data science experience is required, this means being strong technically with Python or R, SQL
  • Experience with data visualisation tools such as Tableau, Google Big Query, etc will be required


What you'll get in return

You will join a motivated and talented team, a team that is pulling in the same direction to create the best retail banking customer journey. They team works in a very non-traditional way and is looking for entrepreneurial minded staff who like to use new technologies.

What you need to do now

If you're interested in this role, click "apply now" or for more information and a confidential discussion this role or to find out more about IT and Digital opportunities contact Riley King at +852-2230-7902 [email redacted, apply via Jobable] Follow Hays for the most up-to-date career advice and insights on the world of work: https://www.linkedin.com/company/hays

Employment TypeFull-time
Education LevelNone
LanguageEnglish, Cantonese
HaysHuman Resources and Recruitment