Intern - Exchange Operations, Applied Intelligence (Spring 2027, Jan to Jun)

SGX·Singapore·Data Engineering

SGX is hiring a Intern - Exchange Operations, Applied Intelligence (Spring 2027, Jan to Jun) in Singapore. Posted 2026-09-05; applications close 2026-11-04 (in 56 days).

Role details

Singapore Exchange (SGX) Group Internship Program — Applied Intelligence (Applied Analytics & AI)

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. SGX operates equity, fixed income, and derivatives markets under the highest regulatory standards, and 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.

SGX offers a fast-paced internship experience with real-time involvement from Day 1, allowing interns to gain insights into the Exchange business and the finance value chain. Note: Leave of Absence (LOA) may be required to take on the internship.

Applied Analytics & AI — Applied Solutions

The Applied Analytics & AI (Applied Solutions) team is part of Exchange Operations, delivering data-driven solutions and advanced analytics to support SGX’s business and operational objectives. This internship provides an opportunity to work at the intersection of data analytics, artificial intelligence, and cloud engineering.

As an intern, you will contribute to initiatives that automate and enhance business processes using AI technologies and Google Cloud Platform (GCP). You will work with large-scale trading data from SGX’s derivatives markets, helping to develop and enhance analytics capabilities on BigQuery and modern cloud-based data platforms.

This role offers hands-on experience in AI prompt engineering, data analytics, data engineering, and cloud technologies, while exposing you to real-world business challenges. In addition to project work, you will assist with BAU activities to understand operational workflows and support the team’s ongoing responsibilities.

Job Responsibilities

  • Develop and refine AI prompt engineering solutions to support automation and data processing workflows
  • Design and build Python computation modules for internal reporting and processing systems on GCP and BigQuery
  • Implement and maintain efficient, scalable, and reliable Python code for data processing and automation
  • Support testing, validation, and troubleshooting of developed features to ensure production readiness
  • Maintain and enhance existing BAU Python processes, ensuring stability and performance
  • Collaborate with business and technology teams to translate requirements into practical solutions
  • Identify opportunities to improve workflows through automation and AI-driven approaches

Knowledge and Skills Requirements

  • Strong proficiency in Python, including data processing and scripting
  • Familiarity with or exposure to AI prompt engineering / LLM-based workflows
  • Basic understanding of cloud platforms (preferably GCP) and BigQuery
  • Good problem-solving skills and attention to detail
  • Strong communication skills and ability to work collaboratively
  • Keen interest in financial markets, trading systems, or exchange-related data

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Applying to this role

This Intern - Exchange Operations, Applied Intelligence (Spring 2027, Jan to Jun) role at SGX runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.

Jorb AI tracks details for Intern - Exchange Operations, Applied Intelligence (Spring 2027, Jan to Jun) at SGX. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-09-08.

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