VP Credit Risk / Data Analytics – Wholesale banking VP Credit Risk / Data Analytics – Wholesale  …

Pure Hong Kong
in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Last application, 19 Sep 19
Competitive
Pure Hong Kong
in Hong Kong, Hong Kong, Hong Kong
Permanent, Full time
Last application, 19 Sep 19
Competitive
Our client is an established commercial bank with a strong presence across the region. Due to business needs, they are currently looking for a high calibre Credit Risk/ Data Analytics professional to join their team based in Hong Kong.

Responsibilities:

  • Develop data analytics for the business, continue to drive analytical projects to deliver solutions including early warning alert projects etc
  • Work closely with stakeholders (IT, etc) to understand credit and business user’s needs to create solutions
  • Adopt advanced analytical skillsets and technologies for overall enhancement, while working with external consultancy experts
  • Assist in the design and establishment of data warehouses to facilitate more efficient analytics initiatives
  • Conduct data analytics for wholesale credit risk, deep dive in various data sources to identify analytical opportunities and determine data usability
  • Work closely with users, analytics expert and IT to ensure that projects are delivered according to expectation
  • Ensure consistency between solutions and the overall data analytics road map

Requirements:

  • Bachelor’s degree holder Business, Computer Science, Statistics or related disciplines
  • At least 8-10 years’ relevant experience in financial institutions, with data mining experience
  • Experience in Credit Risk management on wholesale banking business
  • Familiar with advanced analytical tools/techniques (e.g. AI, Machine Learning) for large scale analysis of unstructured/ non-traditional big data, etc.
  • Programming experience in SAS, Qlikview or other statistical programs
  • Excellent command of written and spoken English and Chinese

Should you wish to have a confidential discussion, please contact Fabienne Cheng at 2520 5073 

Close
Loading...