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Senior Equity Options Software Engineer (Remote)

Quantum Financial Technologies
Minneapolis, MN
Estimated Salary
USD 130.000 – USD 180.000
Live Update
12 Oktober 2026
Deadline
12 Okt 2027

Job Description

Join our award-winning fintech team at Quantum Financial Technologies, where innovation meets Wall Street. We're seeking a Senior Equity Options Software Engineer to architect and build mission-critical trading platforms that power global financial markets. This fully remote role offers the opportunity to shape the future of derivatives trading while enjoying Minneapolis' vibrant tech ecosystem.

Our engineers collaborate with quantitative analysts, traders, and compliance experts to develop low-latency systems handling billions in daily transactions. You'll work in an agile environment using cutting-edge technologies to solve complex financial engineering challenges. We offer competitive compensation, flexible schedules, and opportunities for professional growth in a supportive, remote-first culture.

Responsibilities

  • Design and implement high-performance trading systems for equity options pricing and risk management
  • Develop real-time market data processing pipelines with microsecond-level latency requirements
  • Collaborate with quants to model complex derivatives pricing algorithms in C++/Python
  • Optimize system architecture for scalability handling 50k+ transactions per second
  • Implement robust compliance monitoring for SEC/FINRA regulations
  • Mentor junior engineers through pair programming and technical reviews
  • Participate in on-call rotations for production system support

Qualifications

  • 5+ years experience in low-latency financial software development
  • Expertise in C++ and/or Java with proven optimization skills
  • Deep understanding of equity options pricing models (Black-Scholes, Monte Carlo)
  • Familiarity with FIX protocol and market data feeds (ITCH/ITCHv5.0)
  • Strong background in distributed systems and cloud architecture (AWS/GCP)
  • Experience with Linux kernel tuning and network stack optimization
  • BS/MS in Computer Science, Mathematics, or related quantitative field
  • FINRA Series 55 or 57 certification preferred

Required Skills

C++ Java Python FIX Protocol Low-latency Systems Equity Options Market Data Cloud Architecture Linux Kernel Financial Derivatives

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