Retail Risk Analytics Manager (Banking)

The candidate is required to:

• Responsible for data quality assurance for all 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

Requirements:

• Bachelor or Master degree in statistics or business related discipline.
• Moderate years of experience in data quality management and or credit risk management in retail banking environment.
• Good understanding of regulatory capital model and regulatory requirements for capital reporting.
• Experience in tools like SAS and Python.
• Strong planning, analytical, communications, decision making, influencing, interpersonal and project management skills.
• Ability to effectively influence and communicate across various business lines and units at senior levels within the organization.

Suitable candidates with less experience could be considered for a position at the lower Band.