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Job ref no.: 4202737/001_1626829505 (CT3130802-01#0337)
Michael Page

Data Scientist - Leading Bank in Hong Kong

Michael Page

About this company

The Data Scientist will be responsible for initiating data science solution to improve the business efficiency.

Client Details

Our client is a Hong Kong's leading bank to further develop their digitalisation programme. With the new initiatives, they are looking for Data Scientists to join their team to perform advanced analytic.

Description

  • Develop data science solution, including algorithms and statistical predictive models to identify business challenges and opportunities
  • Analyse data and visualise insights
  • Support the data governance and architecture of data platform
  • Maintain the data model and support data asset management
  • Perform data visualisation for monitoring business performance
  • Collaborate with business users to understand their pain-points and introduce new data science innovations into business areas such as UX / UI, marketing and risk management

Profile

  • Bachelor's degree in Mathematics, Statistics, Computer Science or any relevant disciplines. Master or PhD is highly preferred.
  • solid experience in advanced analytics; experience in the financial services industry is preferred.
  • Proficient in Python, R or similar programming languages
  • Familiar with open source packages and experience in Tensorflow or Pandas or Scikit-Learn
  • Experience in data visualisation and BI tools, including Tableau, Power BI
  • Strong analytical mindsets and proactive personality
  • Good command of English and Chinese

Job Offer

Successful candidates can enjoy driving changes with your data insights, will also gain exposure on analysing customers' behaviors. You will be eligible for a clear career path, a competitive salary and benefits.



More job information
Job ref no. 4202737/001_1626829505 (CT3130802-01#0337)
Job Function
Industry
Location
  • Central
Employment Term
  • Permanent
  • Full-time
Experience
  • 3 years
Career Level
  • Non-management level
Education
  • Degree
Benefits
  • 5-day week