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Information Technology 🏢 Full Time ⭐️ Verified

Senior Equity Options Software Engineer

Quantum Financial Systems
Wichita
Estimated Salary
USD 110.000 – USD 140.000
New
Live Update
4 September 2026
Deadline
4 Sep 2027

Job Description

Join Quantum Financial Systems, a leader in algorithmic trading technology, as we revolutionize the equity options market. We're seeking a brilliant Software Engineer to design and build high-performance trading platforms that process millions of transactions daily. This role combines deep financial market knowledge with cutting-edge software engineering to create solutions that drive our competitive edge.

Our Wichita team operates in a state-of-the-art facility where innovation meets practical application. You'll collaborate with PhD-level quants and veteran traders to develop systems that optimize option pricing models, minimize latency, and ensure regulatory compliance. This is your opportunity to shape the future of financial technology while enjoying Midwest affordability and work-life balance.

Responsibilities

  • Architect and implement low-latency trading systems for equity options execution
  • Develop pricing algorithms for exotic derivatives using Monte Carlo and binomial tree models
  • Optimize C++/Java codebases for microsecond-level performance improvements
  • Design real-time risk management frameworks for options portfolios
  • Create regulatory compliance modules for SEC/FINRA reporting requirements
  • Collaborate with quantitative analysts to model volatility surfaces and Greeks
  • Lead code reviews and mentor junior engineers in financial domain knowledge

Qualifications

  • 5+ years experience in high-frequency trading software development
  • Expertise in C++ and/or Java with multithreading optimization
  • Deep understanding of Black-Scholes and stochastic calculus models
  • Proficiency in Linux kernel tuning and network protocol optimization
  • Familiarity with FIX protocol and exchange connectivity systems
  • BS/MS in Computer Science, Mathematics, or Financial Engineering
  • Experience with Kubernetes and cloud-native deployment architectures

Required Skills

C++ Java Algorithmic Trading Options Pricing Low-Latency Systems FIX Protocol Monte Carlo Simulation Risk Management Kubernetes Linux Kernel Tuning

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