Data Modeller Investment Banking Wealth Management (ID 4072)

As a Data Modeller you will: Design develop and maintain conceptual logical and physical data models for complex financial and banking data environments. Translate business requirements into scalable and well-structured data models supporting Investment Banking or Wealth Management functions. Work closely with business analysts data architects developers and stakeholders to understand data requirements and define appropriate data structures. Define entities attributes relationships keys hierarchies and data definitions across enterprise data domains. Ensure data models support reporting analytics data integration and downstream applications. Analyse existing data structures and recommend improvements to data quality consistency and scalability. Maintain data modelling standards documentation and metadata in accordance with enterprise data governance practices. What You Bring to the Table: 6 years of overall IT experience in data modelling data architecture data engineering or a closely related data discipline. Strong hands-on experience in conceptual logical and physical data modelling. Relevant experience in Investment Banking or Wealth Management is essential. Good understanding of financial services data domains processes and terminology. Experience working with relational databases SQL data warehouses and enterprise data platforms. Proficiency with data modelling tools such as Erwin Data Modeler ER/Studio or equivalent. Strong understanding of data structures normalization dimensional modelling and data relationships. Experience working with large and complex datasets in enterprise environments. Good understanding of data governance data quality metadata and master/reference data concepts. You should possess the ability to: Analyse complex business requirements and convert them into effective data models. Understand and model financial data relevant to Investment Banking or Wealth Management. Work effectively with business and technical stakeholders across different teams. Identify data dependencies gaps redundancies and inconsistencies within existing data models. Create clear and comprehensive data model documentation and maintain modelling standards. Communicate complex data concepts clearly to both technical and non-technical stakeholders. Manage multiple data modelling activities while meeting project timelines and quality standards. Collaborate with architects developers data engineers and business teams throughout the data lifecycle. What we bring to the table: Opportunity to work on complex enterprise-level data modelling initiatives within the financial services domain. Exposure to Investment Banking and/or Wealth Management data and business processes. Opportunities to work with modern data platforms architecture governance and analytics initiatives. A collaborative environment involving data technology architecture and business teams. Opportunity to contribute to large-scale data transformation and digital initiatives. Lets Connect Want to discuss this opportunity in more detail Feel free to reach out. Recruiter: Hema Murali Phone: ; Extn :148 Email: LinkedIn: