Summary:
- The successful candidate will be supporting data management operations activities in the Investment Cluster - Public Market and Corporate Services for Data Strategy Group.
Responsibilities:
- Proactively work with business (research analysts, quantitative strategist, end-users, etc.), understand business requirements to enhance our investment and research data solutions and strategies.
- Contribute, influence, and review the design of data solutions to ensure they meet both business and operational needs.
- Conduct requirement workshop with business and/ or users and analyze requirements holistically to enhance our investment and research data solutions and strategies.
- Plan, develop testing strategies and execute end-to-end user acceptance testing of system and data changes in data solutions.
- Set up, improve and streamline new or existing data operations process through analyzing systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) for continuous improvements.
- Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
- Design quality metrics and monitor quality of enterprise datasets.
- Manage and maintain strong data provider relationship to ensure continuous support and knowledge for existing and future data needs.
Requirements:
- Possess a degree in Computer Science/Information Technology or related fields from recognized tertiary institution.
- 3 to 8 years of experience in data management, data analysis, user/business requirements analysis and enhancement, data analytics and visualization. Preferably within investment and banking industry.
- Good understanding of the principles, key controls, and processes relating to data management, as well as data modelling and data integration.
- Good at working with details and is meticulous for operations.
- Experience working with business intelligence/data visualization tool using Tableau and PowerBI.
- Familiarity with data warehouse, data models, data management tools, and data extraction such as SQL, Tableau, Python or R is preferred.
- Knowledge of using formulas/macros in Excel is advantageous.
- Experience in economics/finance related courses is preferred.
- Excellent written and verbal communication skills.
- Strong interpersonal skill to interact with diverse stakeholders.
- Agile, fast learner and able to adapt to change.
- Good team player, with strong analytical skill and enjoy complex problem solving.
- Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
