About the role#
As a Quantitative Engineer Intern, you will support the testing and validation of the ICE Risk Model. You will work with the margin system to ensure its stability and accuracy. This role provides an opportunity to contribute to our automated test framework while learning the end-to-end workflow of our risk calculations.
What you'll do#
- Design and build test scenarios to check the accuracy and stability of the ICE Risk Model under various market conditions.
- Extend and improve the Python-based automated test framework.
- Identify, log, and track defects through to resolution.
- Work with engineers to reproduce issues and find root causes.
- Learn how the margin system functions, from data inputs to final reporting.
What you'll need#
- Current enrollment in a master's degree program or recent graduation.
- A degree in Financial Engineering, Quantitative Finance, Computer Science, or a related field.
- Strong proficiency in Python.
- Familiarity with financial engineering concepts.
- Basic knowledge of SQL.
Location & details#
- Location: Atlanta, Georgia.
- Term: Summer 2027.
- Schedule: Full-time, five days a week on-site. You may choose between two sessions: May 24 to August 6 or June 7 to August 20.
- Sponsorship: Not available for this position.
About ICE
ICE operates as a public company in the financial services sector. It provides data, technology, and expertise to market participants. Founded in 2000, the firm maintains its headquarters in Atlanta, Georgia. It employs over 11,000 people across multiple office locations in the United States and Canada.
How to get in at ICE
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