Associate, Full Stack Data Engineer

Job Title:                     Full Stack Data Engineer Corporate Title:           Associate Division:                      Group Technology (Chief Data Office) Location:                     Singapore SFID:                            14526 Licensed Role:            No Nomura Overview Nomura is a financial services group with an integrated global network. By connecting markets East & West, we service the needs of individuals, institutions, corporates and governments through our four business divisions: Wealth Management, Investment Management, Wholesale (Global Markets and Investment Banking) and Banking.  Driven by the insights of some 28,000 people worldwide, we put our clients at the center of everything we do, delivering unparalleled access to, from and within Asia. For further information about Nomura, visit  www.nomura.com    Department Overview The Chief Data Office plays a key role in defining and implementing the firm's data, cloud and AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture. Governance remains a critical focus area, and the Chief Data Office, in partnership with Business and Corporate functions, is responsible for ensuring that the firm's data assets are managed in line with the firm's data management framework, policy and standards. Role Description The  Full Stack Data Engineer will be required to develop scalable, secure, and high-quality data engineering, AI/ML Ops, and data platform solutions aligned with business objectives and timelines. Design maintainable data architectures, pipelines, and technical solutions adhering to enterprise standards. Responsibilities Solution Delivery: Design scalable, secure and maintainable data architectures, pipelines, and technical solutions aligned with enterprise standards and business requirements. Solution Design: Drive the operationalize of AI/ML solutions while implementation best practices for data quality, governance, metadata, lineage and platform reliability. AL/ML Ops & Data Management: Drive the operationalize of AI/ML solutions while implementation best practices for data quality, governance, metadata, lineage and platform reliability. Trusted Partner: Shape the information & analytics agenda at Nomura and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps. Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset Requirements Masters in quantitative fields (Computer Science, Statistics or similar) Minimum of 5 years’ experience of relevant data experience in data engineering / MLOps, full stack engineering in the financial sector. Experience in data management principles including, but not limited to data quality, metadata management, data lineage, master data management, and data…