Intern Tech Risk and AI Automation (Spring 2027, Jan to Jun)

We are Asias leading and trusted securities and derivatives market infrastructure operating equity fixed income currency and commodity markets to the highest regulatory standards. We also operate a multi-asset sustainability platform SGX FIRST or Future in Reshaping Sustainability Together ( We are committed to facilitating economic growth in a sustainable manner leveraging our roles as a key player in the ecosystem a business regulator and listed company. With climate action as a key priority we aim to be a leading sustainable and transition financing and trading hub offering trusted quality end-to-end products and solutions. As Asias most international multi-asset exchange we provide listing trading clearing settlement depository and data services with about 40% of listed companies and over 80% of listed bonds originating outside of Singapore. We are the worlds most liquid international market for the benchmark equity indices of China India Japan and foreign exchange we are Asias leading marketplace and most comprehensive service provider for global FX over-the-counter and futures participants. Headquartered in AAA rated Singapore we are globally recognised for our risk management and clearing capabilities.

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.

Short overview on the Unit/Team:

The Operational Excellence Team within Markets Engineering is responsible for driving regulatory compliance governance and operational effectiveness across the department. The team manages regulatory requirements supports audits and MAS inquiries monitors the achievement of departmental OKRs and works with stakeholders to continuously improve processes and addition the team leads strategic initiatives such as Frontier AI adoption automation and quantum preparedness helping the organization enhance efficiency resilience and readiness for emerging technologies and future risks.

Learning Outcomes

The selected intern will gain hands-on experience in Technology Risk Management Regulatory Compliance Audit Management Operational Excellence and Artificial Intelligence (AI) within a regulated financial market environment. The intern will learn how enterprise technology teams respond to audits regulatory requests customer security assessments and compliance obligations while leveraging AI and automation to improve efficiency. They will also develop practical skills in data analytics dashboard development process improvement cybersecurity compliance monitoring and stakeholder engagement. Exposure to Generative AI Power BI Python Power Platform and enterprise governance practices will provide valuable industry experience and business acumen.

Job Description

• Analyze historical audit responses regulatory submissions and customer security assessment questionnaires to identify reusable content and response patterns.
• Design and develop AI-assisted solutions to automate draft responses for audit compliance regulatory and due diligence requests.
• Support the development of AI-driven workflows for Vendor Due Diligence and customer security assessments.
• Review and enhance Vulnerability Assessment and Penetration Testing (VAPT) monitoring processes through automation and dashboard reporting.
• Develop compliance tracking dashboards and management reports using Power BI or similar analytics tools.
• Perform data analysis to identify trends risks operational inefficiencies and improvement opportunities.
• Conduct process mapping and workflow analysis to identify automation and operational excellence initiatives.
• Prototype solutions using Python Power Platform Generative AI or other automation tools to reduce manual effort.
• Measure and report productivity gains efficiency improvements and operational benefits achieved through implemented solutions.
• Collaborate with Technology Risk Compliance Audit Cybersecurity and Operational Excellence stakeholders to gather requirements and validate outputs.
• Prepare project documentation presentations and reports for senior management and stakeholders.
• Present project outcomes findings and recommendations at the completion of the internship.

Must Have

• Pursuing a Bachelors Degree in Computer Science Information Technology Data Science Cybersecurity Information Systems or a related discipline.
• Strong analytical thinking and problem-solving skills.
• Good command of written and spoken English.
• Basic knowledge of Python programming and data analysis.
• Proficiency in Microsoft Excel PowerPoint and other Microsoft Office applications.
• Ability to document requirements findings and solutions clearly and professionally.
• Strong attention to detail and ability to work independently.
• Keen interest in Artificial Intelligence Cybersecurity Risk Management and Compliance.

Preferred

• Familiarity with Generative AI tools such as Microsoft Copilot ChatGPT Gemini or Large Language Models (LLMs).
• Exposure to Machine Learning Natural Language Processing (NLP) Prompt Engineering or AI workflow development.
• Experience with Power BI Power Automate Power Apps or similar automation platforms.
• Understanding of cybersecurity concepts such as Vulnerability Management Penetration Testing Security Controls and Risk Assessment.
• Exposure to regulatory audit governance compliance or enterprise risk management concepts.
• Experience with dashboard development reporting automation or data visualization tools.
• Ability to engage stakeholders gather requirements and communicate technical concepts effectively.

Advantageous

• Previous project experience involving AI automation analytics or cybersecurity.
• Knowledge of financial services regulated environments or technology governance frameworks.
• Experience working with structured and unstructured data for analysis and reporting.