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# Quantitative Engineer

- **Company:** Intercontinental Exchange
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Automation of Tests, Spreadsheets, Integrated Development Environments, Python (Programming Language), MATLAB, SQL Databases, Strategies of Testing, Integration Tests, Information Technology, Statistics Packages, Oracledb
- **Published:** October 18, 2026
- **Apply:** https://www.juju.com/job/1_intercontinentalexchange-13524

## About the Role

You must be results-oriented, self-motivated and have the ability to thrive in a fast-paced environment.
This role requires frequent interaction with project managers, developers, product managers, and risk management/quantitative analysts in order to ensure that we deliver a quality clearing house risk platform to our users.
Analytical skills and the ability to understand and test quantitative risk assessment/margin calculation models are crucial for the role. **Responsibilities** + Develop reference implementations for testing platform applications, based on technical business requirements + Review technical requirements with quantitative models terminology to produce test strategies, test scenarios, and test cases + Implement, maintain, and troubleshoot test harnesses, including implementations for various quantitative models + Define test scenarios and develop/maintain automated test cases + Create test plans, defining test scope, resources, dependencies, risks, and the overall strategy for testing complex software systems + Perform all aspects of verification, including functional, regression, system, and integration testing for applications designed using multi-tiered-based architecture + Deploy application builds and maintain test environments + Perform troubleshooting of software / hardware
configuration problems + Demonstrate a passion for finding software bugs in complex algorithms **Knowledge and Experience** + M.S. or higher in a Financial Engineering, Mathematics, or Computer Science related discipline + Experience with modeling/statistical analysis tools such as Python, R, or MATLAB + Ability to implement quantitative algorithms and develop automated tests using a scripting/programming language + Ability to write and execute customized SQL queries against Oracle DB + Ability to calculate customized statistics on large sets of data + Ability to understand use Python code and spreadsheets containing financial engineering formulas + Must have understanding of derivatives markets and options/asset pricing models + Must be comfortable with working across systems in a high tech software development environment + Progress toward CFA, FRM, or similar credentials a plus + 2+ years' experience with commodity markets, financial trading environment, or
equity brokerage business and exposure to futures markets is a plus + Value at Risk (VaR), parametric, Historical Simulation, or other portfolio risk management understanding a plus + Must have excellent communication skills Intercontinental Exchange, Inc. is an Equal Opportunity Employer.