
Internship: Group Risk Management, Group Risk Portfolio Management, Credit Infrastructure & Solutions [Jan to May 2026]
- Singapore
- Training
- Full-time
- Supporting the documentation of rationale and logic flows as part of the Data Infrastructure Optimization initiative.
- Supporting User Acceptance Testing (UAT) for data process revamp and re-platforming from SAS to Python for management reporting.
- Supporting post-implementation parallel runs and result verification to ensure data accuracy and process stability.
- Gaining hands-on experience in data engineering and risk analytics within the financial industry.
- Learning the basic approach to performing user testing during project enhancements.
- Currently pursuing an undergraduate or postgraduate degree.
- Demonstrates a strong interest in data engineering, risk analytics, and financial technology.
- Possesses strong analytical skills and a meticulous attention to detail.
- A proactive and collaborative team player with excellent communication skills.
- Eager to learn about data infrastructure optimization and the migration of systems.
- Hands-on experience in documenting complex data processes and logic flows.
- Practical skills in performing User Acceptance Testing (UAT) and verifying data accuracy.
- Exposure to the migration of data systems from SAS to Python.
- Insights into the importance of data infrastructure optimization for risk management.
- A foundational understanding of risk analytics within a leading financial institution.