Job Description
Join the Revolution in Financial Engineering.
We are Quantum Options & Analytics, a pioneering firm at the intersection of high-frequency trading and equity derivatives. We are looking for a visionary Senior Software Engineer to build and maintain the low-latency infrastructure powering our next-generation options pricing engines and risk management platforms. If you thrive in a fast-paced, high-stakes environment and want to engineer solutions that move the market, this is your opportunity.
Why Join Us?
• Work with cutting-edge technology including C++, Rust, and distributed systems.
• Competitive compensation and equity package.
• Collaborate with world-class quants and engineers in a culture of innovation.
• Located in the heart of Long Beach's emerging tech corridor.
Responsibilities
- Architecture & Development: Design, develop, and optimize high-performance software systems for real-time equity options pricing and execution.
- Low-Latency Systems: Implement ultra-low-latency trading engines capable of processing thousands of transactions per second with millisecond precision.
- API Integration: Integrate seamlessly with exchanges, dark pools, and custodian APIs to ensure robust data flow and trade execution.
- Risk Management: Develop and maintain proprietary risk calculation models to ensure compliance with regulatory standards and internal risk limits.
- Code Quality: Mentor junior engineers, conduct code reviews, and establish best practices for testing, deployment, and monitoring.
- Infrastructure: Work closely with DevOps to automate CI/CD pipelines and ensure system resilience in cloud environments.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of software engineering experience, with a focus on high-frequency trading, fintech, or low-latency systems.
- Programming: Expert proficiency in C++ (essential) and experience with Python or Java.
- Financial Knowledge: Strong understanding of equity options, derivatives, and financial markets is highly preferred.
- Systems: Deep knowledge of distributed systems, multithreading, and memory management.
- Tools: Experience with containerization (Docker/Kubernetes), message brokers (Kafka/RabbitMQ), and cloud platforms (AWS/GCP).