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Equity Options Software Engineer (Weekly Pay) - San Antonio

Quantum Financial Solutions
San Antonio
Estimated Salary
USD 95.000 – USD 145.000
New
Live Update
20 September 2026
Deadline
20 Sep 2027

Job Description

Join Quantum Financial Solutions as an Equity Options Software Engineer and revolutionize financial technology with weekly pay! We're seeking a visionary engineer to design, develop, and maintain high-performance systems for equity derivatives trading platforms. This role offers unique exposure to complex financial modeling, real-time market data processing, and cutting-edge algorithm development. Enjoy the flexibility of weekly payroll while building mission-critical software used by institutional traders worldwide.

Our San Antonio hub combines competitive compensation with a dynamic startup culture. You'll collaborate with cross-functional teams to deliver scalable solutions that process millions of transactions daily. This is your opportunity to impact the future of fintech while advancing your career in one of America's fastest-growing tech markets.

Responsibilities

  • Develop, test, and deploy low-latency trading systems for equity options pricing and risk management
  • Implement complex financial algorithms including Black-Scholes models and Monte Carlo simulations
  • Optimize real-time data pipelines handling market feeds, position updates, and risk calculations
  • Collaborate with quantitative analysts to translate mathematical models into production-ready code
  • Ensure system compliance with SEC regulations and exchange requirements
  • Lead code reviews and mentor junior engineers on best practices
  • Design scalable architectures supporting high-frequency trading operations

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, or related field (MS preferred)
  • 5+ years experience in C++/Python for financial systems development
  • Expertise in options pricing models and derivatives market mechanics
  • Strong background in multi-threaded programming and low-latency systems
  • Experience with FIX protocol and market data platforms (Bloomberg, Refinitiv)
  • Proficiency in Linux environments and containerization technologies
  • Knowledge of financial regulations (SEC, FINRA) and compliance requirements
  • Track record of delivering high-availability trading systems

Required Skills

C++ Python Financial Modeling Options Pricing Low-Latency Systems FIX Protocol Linux Multi-threading Monte Carlo Simulation Black-Scholes Risk Management

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