Job description
A Career with Hang Seng Bank
Hang Seng is committed to service excellence. Our people are our most important asset and play a vital role in our efforts to continually enhance our performance for customers and provide best-in-class products and services. We seek to attract high-calibre talent by offering a dynamic working environment, good career development opportunities and competitive compensation packages.
Data and Analytics Office
In Hang Sang Data and Analytics Office, we enable transformation into a data-driven Bank. We execute Data Governance, Data Management, Data Analytics, Data Partnership, and Data Literacy to generate business values from data.
We are currently seeking a high caliber professional to join our department as Data Manager.
Principal responsibilities:
The role will be supporting the department to drive data strategy to ensure
- data are managed and controlled
- data becomes a key asset to the bank
- the bank moves to a data driven organization
- regulatory demands on data are satisfied
Job responsibilities
- Implement data governance, data privacy and information lifecycle management initiatives focusing on policy implementation, regulatory change and risk minimization.
- Work closely with 2LoD, and Business/ Function teams to ensure data governance/ control procedures are developed and maintained that translate from group policy and standards into operational procedures.
- Provide advice and guidance to Business/ Function teams on control implementation, execution, monitoring and reporting to ensure compliance with regulatory requirement and the Bank’s internal policy/ procedure.
- Partner closely with with Data and Analytics Office counterparts at the HSBC Group level, sharing best practices to enhancing effectiveness of driving our data strategy initiatives.
- Responsible for driving and leading data risk management meeting as part of data governance.
- Align with Group and Regional DAO data governance team to ensure well understanding in data risk landscape and governance approach.
Requisitos
- University degree in related disciplines, including Data, Business Administration, Risk, Information System
- 3-5 years’ experience in financial services industry with background in risks and controls management, data management preferred; or equivalent subject matter expertise in a relevant business related function/operation
- Good understanding of data management, information lifecycle management, data privacy principles and operational risk management framework
- Attention to detail combined with a strong delivery focus and the ability to meet aggressive timeframes with quality results
- Awareness on data governance such as Generative Artificial Intelligence, Data Privacy/ Information Lifecycle Management trends and best practices within the banking industry
- Strong interpersonal skills, experience of working with different levels of stakeholders
- Great sense of ownership and servicing mindset to ensure efficient and effective delivery in a changing work environment
- Ability to embrace change and overcome challenges and strong desire to learn and able to work in Agile environment
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