Intern - Data Services, Platform Analytics (Fall 2026, Jun to Dec)

SGX Internship Program

Singapore Exchange (SGX) is Asia’s leading and trusted market infrastructure, facilitating the exchange of capital and ideas to create value for people, businesses and economies. As a multi-asset exchange operating equity, fixed income and derivatives markets to the highest regulatory standards, SGX is a vertically integrated business that provides listing, trading, clearing, settlement, depository and data services. With about 40% of listed companies and 90% of listed bonds originating outside of Singapore as well as established linkages across the region and in Europe, SGX is Asia’s most international and connected exchange.

Do you have what it takes to be at the heart of the financial industry?

Be a part of this fast-paced world where your contributions count. SGX offers you the unique experience of gaining insights into the Exchange business and the finance value chain. You will be immersed in the respective specialist functions – at SGX, we believe that our interns are involved in real-time work from Day 1.

Note: Leave of Absence (LOA) may be required to take on the internship.

Platform Analytics

Brief Overview:
Platform Analytics team is within Data Services function. Platform Analytics team is responsible for internal data foundation for reporting and analysis in Global Markets Division. Analytics data is crucial to support business with data-driven insights and leverage data to inform business decisions.

This is a data analytics and engineering role in Platform Analytics. The selected intern will work on migrating business data mart to Google Cloud Platforms. You will be exposed to full suite of data generated by trading of securities and derivatives products available on SGX and get involved in enhancing analytics offered in the data mart. This is a unique opportunity to work hands‑on with modern cloud technologies, shape the foundation of our future data architecture, and see the direct impact of your contributions.

Job Responsibilities:

• Develop and test ETL pipelines in GCP Dataform (SQL) and Cloud Run functions (Python)
• Ensure data quality and accuracy
• Support existing BAU processes in python
• Promote good data analytics practices - robust documentation and knowledge sharing
• Adhoc market data research

Knowledge and Skills requirements:

• Data engineering and analytics skills in Python
• Proficiency in SQL 
• Knowledge of data structure and database
• Understanding of financial markets is preferred
• Experience (or interest) in Google Cloud Platforms preferred