HSBC Work From Home (Hybrid) Opportunity:-
Location:- Bangalore, India
Area of interest:- Operations
Job type:- Permanent – Full Time
Work style:- Hybrid Working
Requirements:-
What you will need to succeed in the role:
Eligibility Criteria
- Bachelorβs orΒ Masterβs degree from reputed university with specialization in numerical discipline and concentration in computer science, information systems or other engineering specializations.
- Knowledge of Conceptual/Logical Data Modelling, exposure to Data Governance, Metadata Management, Data Quality assessment and controls implementation using Collibra.
- Should possess advanced knowledge of Data Modelling and Metadata management
- Understanding of Graph Database / Knowledge Graph is desirable.
- Detail knowledge of data management framework β data governance, data privacy, business architecture and data quality.
- Strong analytical skills with business analysis aptitude.
- Ability to comprehend intricate and diverse range of business problems and analyse them with limited or complex data and provide a feasible solution framework. Experience on working on Data/Information Management projects of varying complexities.
Functional requirements
- Knowledge and understanding of financial-services/ banking-operations in a Global Bank.
- Understanding of accounting principles, data flows and regulatory landscape β BCBS239, B3R, CCAR, IFRS9 etc.
- Familiarity of implementing data management with one of the following frameworks β DAMA / TOGAF / FIBO / EDM
Soft Skills requirements
- Ability to work in cross-functional teams. Strong interpersonal skills and drive for success
- Written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas. Ability to build strong relationships both internally and externally.
Key Responsibilities:–
- Analyse and translate business needs into long-term data solutions
- Create and govern a central Business Data Glossary used across the enterprise
- Deliver conceptual and logical data model using HSBCβs Metadata methodology
- Documentation of data standards, Business and Data Quality Rules
- Support HSBCβs Data Management Framework through data governance services
- Build self-service visualization capabilities using RDF Knowledge Graph to derive insights
- Advice business and IT stakeholders using Knowledge Graph to establish Lineage and determine Trusted Sources
- Engage with stakeholders to understand requirements for metadata governance and coordinate meetings with SMEs / Data Governors
- On-board critical data sets to establish Governance framework using group strategic tools – COLLIBRA
- Develop, maintain and optimize meta-models for data supporting key processes
- Coordinate engagement with Business and IT teams to provide support on analysis and documentation of metadata