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Data Analytics, Senior Manager - Retail Bank



Job Description

Your new company

This company is a leading Retail bank in Hong Kong who has created a new analytics team that parachutes in to assist on important data science and analytic projects. They have a global presence and have a very strong presence in Hong Kong. They are searching for a Senior Manager, Data Analytics to help with their machine learning projects.

Your new role

Reporting to the Chief Data Officer (CDO) you will be instrumental in helping create key insights through analytics:

  • Assisting the CDO to lead analytics projects and manage a small team
  • Your team will be responsible for working with smaller business units and will parachute in to work on specific analytics projects
  • Collaborating with different business units to learn about their requirements and help to implement data science and machine learning models that better their business

What you'll need to succeed

To be successful in this role it is important to have a strong analytical mind set and ideally have a background in mathematics and statistics. In addition to this mindset you should also:

  • Bachelor or Masters degree in Maths or Stats
  • 10+ years of progressive data analytics and data science experience
  • Experience in data governance and data quality projects as well. As not all the data you use will be easily accessible and clean and you may need to set up data pipelines
  • Technical experience in SQL, Python or R, and machine learning libraries such as Tensorflow, Keras, Pandas, Etc

What you'll get in return

This stable retail bank and has created this new team that will work on a large volume or smaller to mid-sized projects. They offer a competitive compensation for this position and are looking for the top talent to join their team.

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
HaysHuman Resources and Recruitment