Overview
Contribute to the design and development of AIIB's data ecosystem by providing value-added data analysis to harness data insights. Responsible for gathering, interpreting, and analyzing data requirements and communicating with technical teams and business counterparties.
Tasks Summary
- Work closely with business stakeholders to understand data processes, gather and streamline data requirements, and maintain documentation.
- Perform domain-specific data analysis, research data knowledge from Project and Loan business systems, and translate data requirements to technical specifications.
- Collaborate with project managers and implementation teams to support the design and delivery of data solutions, business intelligence, and self-service solutions.
- Lead Project and Loan data-solution testing, assist with troubleshooting, guide users with new data products and services, and facilitate user training.
- Perform root cause analysis on Project and Loan data-quality issues and reporting processes.
- Identify process improvement opportunities and potential gaps for solution optimization.
- Support data culture awareness training and sharing.
Experience Requirements
- More than five years of working experience as a data associate and/or business analyst or relevant experience in business analysis, data analysis, financial analysis, statistics, and research methods.
- Familiarity with machine-learning frameworks (like Keras or PyTorch) and libraries (e.g., scikit-learn).
- Experience in designing machine-learning and artificial-intelligence applications.
- Strong technical capability in MS SQL and familiarity with business intelligence and data visualization tools, such as PowerBI and Python.
- Working knowledge in Project and Loan products is a must.
- Lending, portfolio management, and cooperative reporting is a plus.
- Demonstrated experience in managing deliverables in agile environments would be an advantage.
Qualification Requirements
- Master’s degree from a reputable university in a relevant field, such as business analysis, data analysis, computer science, information management, or financial engineering, or equivalent experience.
- In lieu of a master's degree, a bachelor’s degree in these fields from a reputable university, along with relevant certifications and experience.
