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Equity Options Software Engineer | Atlanta, GA | Daily Pay

Quantum Financial Solutions
Atlanta
Estimated Salary
USD 140.000 – USD 180.000
Live Update
2 September 2026
Deadline
2 Sep 2027

Job Description

Join Quantum Financial Solutions as a pioneering Equity Options Software Engineer in Atlanta! We're revolutionizing financial technology with cutting-edge solutions, and we need your expertise. Enjoy the flexibility of daily pay while working on high-impact projects that shape the future of derivatives trading. Our collaborative environment fosters innovation, and we offer competitive compensation with uncapped earning potential. Apply today to be part of a team that values technical excellence and work-life balance.

Responsibilities

  • Design, develop, and maintain high-performance equity options pricing and risk management systems
  • Implement low-latency trading algorithms in C++ and Python for real-time market data processing
  • Collaborate with quants and traders to translate complex financial models into scalable software solutions
  • Optimize system architecture for high-frequency trading environments with microsecond-level precision
  • Conduct rigorous testing, debugging, and performance tuning of trading platforms
  • Document technical specifications and contribute to code reviews to ensure quality standards
  • Stay current with industry trends in FinTech, regulatory changes, and emerging technologies

Qualifications

  • 5+ years of experience in software development with focus on financial derivatives or trading systems
  • Expert proficiency in C++ and Python with strong understanding of multithreading and concurrency
  • Deep knowledge of equity options pricing models (Black-Scholes, Monte Carlo, Binomial Trees)
  • Experience with low-latency systems, FIX protocol, and market data feeds (Bloomberg, Refinitiv)
  • Strong background in Linux environments, Docker, and cloud deployment (AWS/GCP)
  • Proven track record of optimizing algorithms for high-frequency trading environments
  • Bachelor's degree in Computer Science, Mathematics, Finance, or related field

Required Skills

C++ Python Options Pricing Low-Latency Systems Linux Docker AWS FIX Protocol Financial Modeling Multithreading

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