Manager, Data Risk and Controls
HSBC View all jobs
- Guangzhou, Guangdong
- Permanent
- Full-time
- Drive the adoption of data profiling and monitoring capability across AME, engage with markets, GBGIs and IT to onboard DQ profiling and DQ monitoring​
- Define meaningful DQ rules and ensure they are fulfilling Reg requirements and fit for purpose
- Design an operating model so that there is clear ownership of the rules, ongoing submission and monitoring.
- Participate in the design of the Group Data Quality Monitoring Tool, championing the specific needs of AME.
- Serve as the DQ contact for markets and businesses in AME supporting the AME DQ Lead, acting as the subject matter expert supporting the region.
- Design and deliver effective and actionable insights on data quality monitoring status and risk in AME, proactively identify opportunities to reduce risk through timely remediation.
- Develop effective relationships with Group Design and Tooling teams, and Cluster Market Heads of Data, Business owners, GBGIs and ITSOs to ensure data quality risk is understood and managed.
- Understand the regulatory landscape relating to data quality management across Asia
- Closely follow up with remediation team when monitoring failed ​
- Perform analysis to constantly provide suggestions to improve data quality in AME
- Assist markets in onboarding DQ Hub
- Knowledge of Data Management principles and understanding of risk management framework, especially regarding data quality
- Understanding of data dictionaries, physical database modelling principles
- Strong analytical skills, proficiency in statical methods and data profiling / validation techniques​
- Experience with visualization of data models and business intelligence tool such as Tableau, PowerBI
- Experience in managing and joining large datasets for analysis, aggregation and reporting
- Experience with data management tools, preferably Collibra
- Hands-on skill on data waggling / ETL tool. Knowing of Alteryx/Python is a definite Advantage
- Preferred experience with Relational Databases, Cloud Technologies, UNIX along with an understanding of modern programming languages
- Preferred experience with conceptual data modelling, business data ontology modelling
- Familiarity with business terminology
- Business process analysis skills.
- Good knowledge in organizational change framework and practices, agile management skills with JIRA
- Proven ability to work in large, complex organizations delivering cross entity/ Regional/ Global changes.
- Attention to detail, strong focus on identifying discrepancies and abnormalities in data, capable of formulating data quality requirement into DQ rules​
- Strong interpersonal skills – ability to work across organizations at all levels
- Strong communications skills – ability to clearly articulate or document current state and recommendations.