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Senior Equity Options Software Engineer - Memphis

Apex Derivatives Systems
Memphis
Estimated Salary
USD 145.000 – USD 190.000
New
Live Update
7 Oktober 2026
Deadline
7 Okt 2027

Job Description

Join the FinTech Vanguard in Memphis, TN

Apex Derivatives Systems is seeking a world-class Software Engineer to architect and deploy high-frequency trading infrastructure for the equity options market. If you thrive in fast-paced environments and possess a deep understanding of mathematical modeling, we want you on our team. This is a unique opportunity to work with cutting-edge low-latency technology in a role that directly impacts market liquidity and pricing efficiency.

Why Join Us?

  • Work with a team of quantitative experts and veteran engineers.
  • Competitive compensation and comprehensive benefits package.
  • State-of-the-art office located in the heart of Memphis.

Responsibilities

  • Algorithm Development: Design, implement, and maintain low-latency algorithms for the pricing and execution of equity options.
  • System Architecture: Build scalable microservices and distributed systems capable of handling high-volume market data streams.
  • Model Integration: Collaborate closely with quantitative researchers to translate complex mathematical models into production-ready C++ and Python code.
  • Performance Optimization: Continuously profile and optimize system components to reduce latency and maximize throughput.
  • Deployment & Monitoring: Oversee CI/CD pipelines and implement robust monitoring and alerting systems to ensure 99.99% uptime.
  • Mentorship: Lead code reviews and mentor junior engineers to foster a culture of technical excellence.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Mathematics, Physics, or a related quantitative field (Master’s preferred).
  • Experience: 5+ years of professional software engineering experience, with at least 2 years specifically in finance, fintech, or high-frequency trading.
  • Technical Skills: Strong proficiency in C++, Python, or Java. Deep knowledge of multithreading, memory management, and network programming.
  • Financial Knowledge: Solid understanding of financial derivatives, specifically equity options, Black-Scholes models, and volatility surfaces.
  • Tools: Experience with message brokers (Kafka, RabbitMQ), in-memory databases (Redis, Memcached), and SQL/NoSQL databases.
  • Soft Skills: Excellent problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

C++ Python Java Equity Options Financial Engineering Low-Latency Systems Quantitative Trading Black-Scholes Kafka Redis Distributed Systems

Ready to Take This Challenge?

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