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About Standard Chartered We are a leading international bank focused on helping people and companies prosper across Asia, Africa and the Middle East.
To us, good performance is about much more than turning a profit. It's about showing how you embody our valued behaviours - do the right thing, better together and never settle - as well as our brand promise, Here for good.
We're committed to promoting equality in the workplace and creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation. This in turn helps us to provide better support to our broad client base.
The Role Responsibilities
The role of ETL manager in Data strategy is to own ETL applications in the data stores, through:
Understanding and documenting the data attributes that are being sourced; maintaining a catalogue of the data store contents.
Determining how data attributes should be stored and managed; classifying and protecting personal and confidential data attributes.
Matching data attributes with data requirements; explaining how data could be utilized and interpreted.
Identifying and tracking consumers of data attributes; assessing and managing impacts of changes.
Work with tech teams (ex: trade, loan, credit card, core banking, etc) and acquire data knowledge for respective systems. Engage tech teams and build connections with respective subject matter experts for future assistance in data queries.
Review and approve source data dictionaries that define the data elements that source systems send to the data store.
Maintain a data catalogue of the data lake in the enterprise metadata tool, Informatica EDC, Axon
Perform data profiling and other data discovery activities to gain understanding of data and validate source data dictionaries through observations from data profiling and discovery results.
Our Ideal Candidate
5 to 10 years' experience in Banking Industry and conversant with how data flows between processes or systems.
Understand concepts of Data Standards, Data Models, and Data Mapping.
Experience working with large datasets and the expertise in data wrangling
Knowledge in the definition and relationship of data attributes in at least one banking domain (Retail Banking, Transaction Banking, Financial Markets, Client & Counterparty, Finance, Credit Risk, Liquidity Risk, etc).
Experience in using metadata tools to manage definition and relationship of data attributes centrally.
Practical experience in using data tools (Query Tools like SQL or Visualization tools like Tableau) to analyse or visualize data would be advantage.
Previous risk management experience and sound knowledge of financial statements is desirable
Apply now to join the Bank for those with big career ambitions.
To view information on our benefits including our flexible working please visit our career pages . We welcome conversations on flexible working.