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Senior Equity Options Software Engineer | Remote (Austin, TX)

Apex Quantitative Systems
Austin
Estimated Salary
USD 140.000 – USD 190.000
Live Update
19 Juli 2026
Deadline
19 Jul 2027

Job Description

The Role: We are seeking a visionary Software Engineer to join our elite team dedicated to revolutionizing the equity options market. As a key member of our Technology division, you will build the high-performance systems that power our proprietary trading strategies and risk management platforms. This is a unique opportunity to work on complex financial algorithms from the comfort of your home, with flexibility to operate from our Austin, TX headquarters or your residence in California.

Why Join Us?

At Apex Quantitative Systems, we pride ourselves on our remote-first culture, cutting-edge technology stack, and competitive compensation packages. You will have the autonomy to drive technical decisions while collaborating with world-class quants and engineers.

Responsibilities

  • Design and develop scalable, low-latency pricing engines for complex equity options and derivatives.
  • Collaborate closely with quantitative analysts to translate mathematical models into efficient, production-ready code.
  • Optimize existing trading infrastructure to handle high-volume data streams with sub-millisecond latency requirements.
  • Ensure system reliability, security, and compliance with financial regulations (FINRA/CFTC).
  • Mentor junior developers and conduct rigorous code reviews to maintain high engineering standards.
  • Deploy and manage infrastructure on AWS/GCP, utilizing containerization and orchestration tools.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or Financial Engineering.
  • 5+ years of professional software development experience, with a strong preference for candidates in the FinTech or High-Frequency Trading sectors.
  • Deep proficiency in Python or C++ and experience with modern software engineering practices.
  • Strong understanding of options pricing models (Black-Scholes, Monte Carlo simulations, Binomial trees) and stochastic calculus.
  • Experience with distributed systems, message queues (Kafka/RabbitMQ), and cloud services (AWS/Azure).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, remote environment.

Required Skills

Python C++ Financial Modeling AWS Docker Kubernetes Options Pricing Low Latency Quantitative Finance Linux

Ready to Take This Challenge?

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