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AVP Analytics - International Bank (Python + NLP)



Job Description

AVP Analytics role focused on Data Science projects for NLP and Text Mining. Requires strong Python experience

Your new company

Is with an established international Retail and Commercial bank. They have more than 150 staff in their Hong Kong office and have had their APAC headquarters in Hong Kong for more than 20 years.

Your new role

In this role you will be responsible for:

  • Develop models and create predictive algorithms / models that can optimize the banks product offering
  • Applying statistical models to complete business projects related to NLP and text mining
  • Working as an analytics translator you will work with business heads to introduce findings and describe effect on business / recommendations
  • Assisting in ensuring the data being used is available, accurate, complete and secure

What you'll need to succeed

As the successful candidate you will have:

  • Bachelor or Master's degree in Statistics, Math's or something similar
  • Hands on experience in Python is preferred, R and SAS are nice to have
  • Experience in financial services is nice to have but no necessary
  • 6+ years of progressive analytics experience

What you'll get in return

This is a newly created role in an established team. It was created to assist in the adoption of data driven decision making in the bank and is very integral to the banks future performance. You will work almost as an analytics translator where you will help with hands on modelling but also will work with the business to describe in laymen's terms what the data is recommending.

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:

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