Job Description:
We are looking for a Senior consultant with experience in business Analysis and Data Management with strong experience in banking data modelling, data warehousing, and SQL. The role involves working with business and technology teams to design logical and physical data models, support data governance, and ensure high-quality data for risk, compliance, regulatory reporting, and analytics across banking domains.
Responsibilities:
- Partner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting and analytics.
- Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
- Translate complex business use cases into normalized and de-normalized data structures optimized for both operational and analytical workloads.
- Implementation and evolution of data marts, data warehouses, and integration layers aligned with banking architecture.
- Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
- Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
- Provide data architecture documentation, data dictionaries, and lineage diagrams for regulatory, audit, and business usage.
- Support data lineage, metadata management, and data quality initiatives to enhance trust and transparency in data usage.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
- Minimum 6 years of experience in data architecture, data modelling, or data management, banking or financial services industry.
- Experience in Alteryx System is mandatory
- Basic knowledge of data governance (i.e. DAMA-DMBOK).
- Deep expertise in logical and physical data modelling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
- Proficient in data modelling tools (e.g., Erwin, PowerDesigner, or similar).
- Advanced SQL skills and strong ability to work with large, complex financial datasets.
- Solid understanding of relational and dimensional modelling, data warehousing, and data integration techniques.
- Intermediate understanding of regulatory compliance in the APAC region.
- Strong collaboration, communication, and documentation skills to engage with both business and technical stakeholders.
- Experience with the American data management system Collibra is a plus.
Interested candidates may apply through the application system or send it to [Confidential Information] Shortlisted candidates will be notified.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan McKinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy . You acknowledge that you have read, understood, and agree with the Privacy Policy.
Morgan McKinley Pte Ltd
Dinu Dinesh
EA License No: 11C5502
