Overview

Job Purpose

Intercontinental Exchange is looking for a Quantitative Engineer to be a part of our team. This role resides within the Clearing Technology segment of ICE. Clearing technology provides automation of risk management and modeling to ensure that markets can operate rapidly and efficiently while minimizing the likelihood of adverse outcomes during market volatility. The Quantitative QA role brings expertise in financial mathematics and technology to the clearing technology group.

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

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

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