Intern - Risk, Risk Quants and Modelling (Spring 2027, Jan to Jun))

SGX Group Internship Program — Risk Quant (Risk Management)

SGX is Asia’s leading and trusted securities and derivatives market infrastructure, operating equity, fixed income, currency, and commodity markets to the highest regulatory standards. The Group also operates a multi-asset sustainability platform, SGX FIRST (Future in Reshaping Sustainability Together), with climate action as a key priority.

As Asia’s most international, multi-asset exchange, SGX provides listing, trading, clearing, settlement, depository, and data services. The company is headquartered in AAA-rated Singapore and is globally recognised for its risk management and clearing capabilities.

Interns are involved in real-time work from Day 1, with involvement tailored to support learning. Note: Leave of Absence (LOA) may be required to take on the internship.

Risk Analytics and Quants — Brief Overview

The Risk Analytics and Quants team in Risk Management is responsible for the development of risk models and the deployment of innovative digital solutions to support critical risk monitoring activities and manage exposure from market participants. Key working areas include setting margin methodologies and performing stress tests, as well as supporting collateral frameworks.

Learning Objectives

The intern will work with the Risk Analytics and Quants team on projects that enhance in-house developed risk tools and help digitalise BAU processes across different risk dimensions and markets. The role provides a well-rounded insight into applying theoretical and advanced concepts in a dynamic team environment.

The intern will also learn how to develop quantitative risk methodologies and data infrastructure using predominantly Python and SQL, and gain exposure to the latest regulatory developments on clearing and settlement.

Job Description

As an intern in the Risk Management Unit, you will assist in:

• Conducting quantitative and research studies for new risk models and processes
• Developing and enhancing risk tools to enable proactive risk monitoring
• Performing system testing for the launch of new processes and products

Knowledge and Skills Requirements

• Be open and willing to ask questions (must)
• Be proficient in Python and SQL programming (must)
• Have strong quantitative skills and be comfortable working with algorithms and big data (must)
• Be hands-on and willing to work with data, systems, and process information for analysis and modelling
• Have good analytical and communication skills
• Have a good understanding of both market risk and credit risk