Retail Risk Analytics Manager (Banking)

  • 50-60,000 HKD per month + Bonus
  • Hong Kong
  • Permanent, Full time
  • Bluemont Consulting
  • 13 Nov 18

One of the largest banking groups globally is currently seeking a high caliber professional to join their team as a Retail Risk Analytics Manager.

Principle Responsibility:

  • Strong understanding of financial industry and knowledge of programming language such as; Statistical Analysis System (others are welcome). 
  • Support data management projects and or Business intelligence needs.
  • Create and execute moderate to highly complex programs with organized structures and proper documentation
  • Diagnose and resolve moderate to complex issues and improve the efficiency of processes and programs
  • Manage delivery within agreed timelines and as per agreed quality standards.
  • Expertise and endorsement is required from colleagues in Risk, Product, Finance, and various analytics functions at country, regional, and global levels.
  • Methodology and execution governance processes are subject to scrutiny and modification by internal operational risk control teams including Independent Model Review and Internal Audit.
  • Demonstrate strong project management abilities in delivering large and complex projects.


  • University degree or post graduate qualification with a relevant quantitative content
  • Experience in risk modelling and management, credit cycle management and data analytics in retail banking environment
  • Knowledge and understanding in one or more of the below areas preferred:
  • Basel, International Financial Reporting Standard 9, Stress Testing Model Development, Model Monitoring, Implementation and Execution
  • Acquisition and Behavioral Risk, Scorecard Model Development, Business Strategy Development and Monitoring
  • Loss Forecasting and Provisioning
  • Strong experience in data analysis using relevant software packages i.e. Statistical Analysis System , Excel, Visual Basic for Applications , SQL.
  • MI, automation and streamlining of work process
  • Demonstrate strong problem solving and project management skills
  • The ability to communicate with a various range of stakeholders including technical and non-technical staff