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Equity Options Software Engineer

Quantum Financial Technologies
Indianapolis
Estimated Salary
USD 110.000 – USD 160.000
Live Update
2 September 2026
Deadline
2 Sep 2027

Job Description

Join Quantum Financial Technologies as we revolutionize equity derivatives trading through cutting-edge software solutions. We're seeking a passionate Equity Options Software Engineer to design and build high-performance systems that power global financial markets. In this role, you'll collaborate with traders, quants, and engineers to develop mission-critical applications for options pricing, risk management, and trading execution. Our Indianapolis hub offers a dynamic startup culture with enterprise resources, competitive benefits, and opportunities to shape the future of fintech.

Responsibilities

  • Design and implement low-latency trading systems for equity options derivatives
  • Develop pricing models and risk analytics using numerical methods (Monte Carlo, PDE solvers)
  • Optimize algorithms for real-time market data processing and order execution
  • Build robust APIs connecting trading platforms with market data feeds
  • Collaborate with cross-functional teams to translate business requirements into technical specifications
  • Ensure system reliability through comprehensive testing and monitoring
  • Stay current with regulatory requirements (SEC, FINRA) for derivatives trading

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or quantitative field
  • 5+ years experience in C++/Java/Python for financial software development
  • Expertise in options pricing models (Black-Scholes, Binomial Trees, stochastic calculus)
  • Proficiency with high-performance computing and low-latency architectures
  • Experience with market data feeds (ITCH/ITCH, OUCH/ITG)
  • Familiarity with FIX protocol and trading systems integration
  • Strong problem-solving skills with financial mathematics background

Required Skills

C++ Java Python Options Pricing Low-Latency Systems Financial Mathematics Market Data FIX Protocol Risk Analytics

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