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Finance 🏢 Full Time ⭐️ Verified

Senior Equity Options Software Engineer

Quantum Financial Technologies
Houston
Estimated Salary
USD 150.000 – USD 210.000
Live Update
28 Juli 2026
Deadline
28 Jul 2027

Job Description

Join our elite team at Quantum Financial Technologies and revolutionize the equity options trading landscape. We're seeking a visionary Senior Software Engineer to architect next-generation trading platforms that process billions in daily transactions. This role offers the unique opportunity to work directly with quantitative researchers and traders to build high-performance systems that drive market innovation. Our Houston-based R&D hub provides a dynamic environment where cutting-edge technology meets sophisticated financial engineering.

As a key member of our Derivatives Engineering division, you'll tackle complex challenges in low-latency execution, risk modeling, and real-time analytics. We offer competitive compensation, comprehensive benefits, and a culture that champions technical excellence and continuous learning. Your work will directly impact global financial markets while advancing your career in one of America's most vibrant tech hubs.

Responsibilities

  • Design and implement low-latency trading systems for equity options derivatives
  • Develop risk management algorithms and pricing models for complex option structures
  • Optimize C++/Java-based infrastructure handling 10M+ transactions daily
  • Collaborate with quants to translate financial models into production-ready code
  • Architect microservices for real-time market data processing and analytics
  • Lead performance tuning and scalability initiatives for high-throughput systems
  • Maintain rigorous testing protocols ensuring 99.99% system reliability

Qualifications

  • Bachelor's degree in Computer Science/Engineering (MS preferred)
  • 5+ years experience in low-latency financial systems development
  • Expert proficiency in C++ and/or Java with multithreading mastery
  • Deep understanding of equity options pricing models (Black-Scholes, Binomial)
  • Proven track record optimizing trading systems for sub-microsecond latency
  • Familiarity with FIX protocol and electronic trading infrastructure
  • Experience with Linux kernel tuning and network optimization
  • Strong background in distributed systems and cloud-native architectures

Required Skills

C++ Java Equity Options Low-Latency Systems FIX Protocol Risk Modeling Multithreading Linux Kernel Distributed Systems Microservices

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