
Senior Retail Risk Analytics Manager - Risk and Compliance
- Kowloon City, Hong Kong
- Permanent
- Full-time
- Ensure successful implementation of Basel III reforms for UK PRA, Hong Kong HKMA and local regulatory reporting. Support regulatory reporting and analytics to identify potential data defects or system issues
- Communicate with relevant stakeholders on Basel III implementation change requirements, User Acceptance Testing (UAT) and deliverables. Ensure implemented output comply with group policies and standards as well as Basel III regulatory requirements. Be able to communicate and present effectively the credit risk model and solution to senior management, country teams and business teams
- Provide insights through the advanced analytics and Big data
- Be able to build risk model independently that will be compliant with regulatory requirements/group requirements and global modelling standards. Support 2LoD or 3LoD review by model risk management teams and audit teams
- Review and challenge of the model monitoring results regularly to ensure model performance issues are identified and remediated timely
- Be responsible for data quality assurance for all Basel data in implementation and ongoing data quality monitoring. Review, challenge, identify possible data quality issues and provide data remediation requirements. Justify the findings and present results in management forum
- Identify, classify, define and document in the appropriate data inventory system the data definition, trusted data sources of the input data variables for critical in-scope business data elements
- Establish change control procedures including full audit trails of processes / system changes. 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
- Bachelor's or master's 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, Python and other high-end analytical tool
- 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