Retail Risk Analytics Manager

5 days ago


Hong Kong, Central and Western District, Hong Kong SAR China HSBC Full time

Some careers open more doors than others.

If you're looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Global Risk is a thriving and expert risk management function supporting HSBC globally with all aspects of risk management. The team actively manages a varied and dynamic range of risk types, including security, fraud, information security, contingency, geopolitical, operational, credit, pension, insurance, market and reputation risks. All parts of the Global Risk team use their skills, insight and integrity to handle established threats and those they see emerging, acting to protect and enable HSBC to deliver sustainable growth.

We are currently seeking a high calibre professional to join our team as a Retail Risk Analytics Manager.

Principal Responsibilities

This role is to assess data quality assurance for Retail Risk Model to support business growth and risk management for HBAP retail credit portfolios that will be compliant with regulatory requirements/group requirements. The candidate is required to:

  • Responsible for data quality assurance for all Basel models developed.
  • Formula end to end data management framework and process for on-going data quality control for both model input variables and model output variables used for risk reporting.
  • Identify, classify, define and document in the appropriate data inventory system the data definition, trusted data sources of the input data variables for regulatory capital model.
  • Review and challenge of the data quality results regularly to ensure data issues are identified and resolutions implemented timely.
  • Perform deep dive analysis on data quality breach.
  • Be able to justify data quality checking results and present to senior management at data quality review meetings.
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