Risk Data & Digital Transformation Manager - Risk Analytics & Governance

Responsibilities Lead the team in maintaining the risk data warehouse of the bank on user’s perspective. Organize and execute BAU Change Request Life cycle of the risk data warehouse. Handle data assessment requests, production issues and adhoc tasks raised from upstream systems and downstream systems in a timely and prioritized way. Participate in projects on user’s perspective and liaise with IT and external vendors on system development projects in order to fulfill the purpose and roadmap of

The Bank of East Asia - Hong Kong - Full time

Salary: Open to discuss

 

Responsibilities

  • Lead the team in maintaining the risk data warehouse of the bank on users perspective.
  • Organize and execute BAU Change Request Life cycle of the risk data warehouse.
  • Handle data assessment requests, production issues and adhoc tasks raised from upstream systems and downstream systems in a timely and prioritized way.
  • Participate in projects on users perspective and liaise with IT and external vendors on system development projects in order to fulfill the purpose and roadmap of risk data warehouse.
  • Assist in the implementation of Fintech projects / initiatives of the Division
  • Identify use cases, participate the Fintech workgroup / Data Quality meetings and support partnership development 


Requirements

  • University graduate/post-graduate in Risk Management, Computer Science, Statistics, Finance, Quantitative Analysis or related discipline. 
  • Minimum of 8 years practical experience relating to risk management, or risk data warehouse in the banking or finance industry.
  • Experience in massive data processing and knowledge of quantitative analysis techniques and software such as Moodys Analytics, Data Reconciliation or SQL will be an added advantage.
  • Knowledge of Basel requirements such as BCBS 239 and other regulatory requirement is an advantage.
  • Ability to communicate with different types of requestor, to analyze their needs, and to prioritize those requests in business and technical point of view of the data warehouse.
  • Understanding of teams direction with ability to solve problem independently, good documentation skills and completion of tasks within agreed timeline.
  • Knowledge of SAS/SQL or other data analysis tools will be an added advantage
  • Proficiency in both spoken and written English and Chinese.

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