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Information Technology 🏢 Full Time ⭐️ Verified

Equity Options Software Engineer

Quantum Financial Solutions
Washington
Estimated Salary
USD 130.000 – USD 180.000
Live Update
14 Juli 2026
Deadline
14 Jul 2027

Job Description

Join our elite team at Quantum Financial Solutions, where cutting-edge technology meets high-stakes finance. We're seeking a brilliant Equity Options Software Engineer to revolutionize our trading infrastructure in the heart of Washington DC. This is your chance to build mission-critical systems that directly impact global financial markets while working alongside industry pioneers.

Our dynamic environment combines the rigor of Wall Street with the innovation of Silicon Valley. You'll architect and deploy low-latency options pricing engines, risk analytics platforms, and trading algorithms that process billions daily. This immediate hire opportunity offers unparalleled career growth in a culture that values intellectual curiosity and technical excellence.

Responsibilities

  • Design and implement high-performance options pricing models (Black-Scholes, Binomial, Monte Carlo)
  • Develop real-time risk management systems for equity derivatives portfolios
  • Optimize trading algorithms for microsecond-level execution in options markets
  • Create robust APIs connecting trading platforms with market data feeds
  • Collaborate with quants and traders to translate financial requirements into technical solutions
  • Maintain and enhance existing options trading infrastructure in C++/Python
  • Lead architectural decisions for scalable derivatives systems handling 10K+ transactions/sec

Qualifications

  • 5+ years experience in options trading technology or quantitative finance
  • Expertise in C++, Python, and low-latency systems architecture
  • Deep understanding of options pricing models and risk analytics
  • Proven track record building production-grade trading systems
  • Strong knowledge of FIX protocol and market data standards
  • Experience with Linux, Kubernetes, and cloud-native deployments
  • BS/MS in Computer Science, Mathematics, or quantitative discipline
  • Ability to thrive in fast-paced financial environments with strict SLAs

Required Skills

C++ Python Options Pricing Low-Latency Systems Risk Management Trading Algorithms FIX Protocol Linux Kubernetes Quantitative Finance

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