Quantitative Senior Software Engineer

Location: Chicago, IL or New York, NY (Hybrid - 4 days in, 1 day remote) About the Opportunity Our client is a leading global exchange and market infrastructure provider that delivers trading, clearing, and data solutions to market participants worldwide. They are seeking a Senior Software Engineer, Quant who will be working on a blend of software engineering and quantitative finance. You’d be building and improving systems that analyze real-time market data—things like pricing, trading activity, and risk—so traders and clients can make better decisions. It’s ideal for someone who enjoys both coding and applying quantitative models in a fast-paced trading environment. Qualifications 5+ years of experience within financial markets, ideally involving market data, reference data, risk analytics, or quantitative development. Strong quantitative background with experience in derivatives pricing, quantitative modeling, and risk analytics. Experience working with financial instruments, derivatives, securities, corporate actions, and reference data related to futures and options. Strong programming skills in Java and/or C++, along with SQL expertise. Experience with Python, R, MATLAB, NumPy, or similar tools used for data analysis and scientific computing.

GPU/CUDA experience is a plus. Strong understanding of statistical and quantitative techniques, including: Bayesian modeling and hypothesis testing Principal Component Analysis (PCA) Tree-based models Time series modeling (e.g., GARCH) Education Bachelor's degree required. Master's or PhD in a quantitative STEM discipline preferred. #J-18808-Ljbffr