Overall 3+ years and above experience in data management or data analytics within investment and banking industry.
Experience in SQL and Python
Create meaningful insights through programming and integration of new data sources deployed in Bl tools
Handle data issue management, identifying and troubleshooting issues as they arise.
Perform User Acceptance Testing (UAT) to ensure data accuracy and functionality
Provide documentation support for technical and functional specifications.
Maintain a strong understanding of investment data domain to ensure alignment with business needs.
Deep understanding of data modeling, data governance, and data warehousing concepts.
Perform validations on client instructions and seamlessly administer client user access to electronic banking products on provisioning applications in a controlled and risk-free manner.
Be aware of operational risk scenarios associated with the role and develop ideas to mitigate risk
