Exchange Operations Intern: AI & Automation Focus

Singapore Exchange Limited

Singapore

On-site

SGD 13,000 - 20,000

Full time

5 days ago
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Job summary

Singapore Exchange Limited in Singapore is offering an Intern - Stock Exchange and Depository Operations (Spring 2027, Jan to Jun). The program provides exposure to core functions across the market operations, clearing, issuance and custody, and accounts & transactions, with LOA considerations if needed.

You will participate in an Applied AI & Automation Capstone project, identifying manual workflows and prototyping automated solutions to drive efficiency while learning from seasoned teams.

Qualifications

  • Attention to detail and problem-solving mindset.
  • Ability to work independently and with others.
  • Clear written and verbal communication skills.
  • Familiarity with MS Word, Excel, PowerPoint, and AI tools for process optimization.

Responsibilities

  • Assist in Market Operations, supporting smooth functioning of SGX's securities market.
  • Support Clearing House post-trade processes and risk management.
  • Assist Issuance & Custody and Account & Transaction activities with accurate records.
  • Contribute to AML KYC activities and regulatory compliance.
  • Participate in an Applied AI & Automation Capstone project to prototype automated solutions.

Skills

Attention to detail
Analytical thinking
Problem-solving
Independent & collaborative work
Clear communication

Tools

MS Word
Excel
PowerPoint
AI Agents
AI Orchestration Flows
n8n
Power Automate
Zapier
Python
VBA

Job description

Singapore Exchange Limited in Singapore is offering an Intern - Stock Exchange and Depository Operations (Spring 2027, Jan to Jun). The program provides exposure to core functions across the market operations, clearing, issuance and custody, and accounts & transactions, with LOA considerations if needed.

You will participate in an Applied AI & Automation Capstone project, identifying manual workflows and prototyping automated solutions to drive efficiency while learning from seasoned teams.

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