Senior Quant Software Engineer – Real-Time Financial Analytics

Cboe Global Markets, Inc.; New York (NY); On-site; USD 149,000 - 193,000; Full time

Job summary

Cboe Global Markets is seeking an experienced software engineer for Cboe Data Vantage to model financial instruments and perform portfolio analyses. You’ll join a team of developers, quants, and technologists with deep market experience on real-time analytics projects.

Responsibilities include developing and refining analytics software, improving model performance, and collaborating with data teams while supporting production applications and documenting specifications.

Qualifications

• 3+ years in Java or C# with parallel/mulltithreaded design patterns.
• 1+ year in C++; performance-critical work uses C/C++ and CUDA.
• Background in financial markets, derivatives pricing or risk analysis; equity derivatives a plus.
• Ability to explain a complex software system end-to-end, including design rationale and value.
• Self-starter attitude; own projects from start to finish; draft requirements, QA, and production release.
• Bachelor’s in STEM; master's preferred.

Responsibilities

• Develop, optimize, and debug real-time financial analytics software.
• Evaluate, tune, and improve model performance, stability, and accuracy.
• Analyze market data, derived data, and reference data.
• Collaborate with reference, real-time, and historical data teams.
• Provide 2nd level production support; respond to customer questions on analytics.
• Write technical specs, project plans, and documentation.
• Communicate with senior managers and technical colleagues.
• Work with sales to support presales engagements.

Skills

Java/C# experience

C++

Multithreading

Derivatives pricing

Explain end-to-end systems

Education

Bachelor's in STEM

Master's preferred

Tools

CUDA

Job description

Cboe Global Markets is seeking an experienced software engineer for Cboe Data Vantage to model financial instruments and perform portfolio analyses. You’ll join a team of developers, quants, and technologists with deep market experience on real-time analytics projects.

Responsibilities include developing and refining analytics software, improving model performance, and collaborating with data teams while supporting production applications and documenting specifications.