Job Description
We are seeking a visionary Software Engineer to join our elite Equity Options trading division. If you are passionate about low-latency systems, financial derivatives, and building scalable infrastructure for the markets, this is your opportunity to engineer the future of trading.
In this role, you will bridge the gap between complex quantitative finance models and high-performance code. You will be responsible for maintaining and enhancing our proprietary pricing engines and execution systems that handle millions of dollars in daily volume. We offer a competitive remote-first culture with a base in the heart of California.
Why Join Us?
• Work with cutting-edge technologies in a high-stakes financial environment.
• Competitive compensation package including base salary and equity options.
• Fully remote flexibility with a focus on results.
Responsibilities
- Develop and maintain high-performance Equity Options pricing engines and market data feeds.
- Optimize existing C++ and Python codebases to reduce latency and improve throughput in trading systems.
- Collaborate closely with quantitative researchers to implement mathematical models for volatility surfaces and Greeks.
- Ensure data integrity and security for all client transactions and proprietary market data.
- Architect resilient microservices that can handle high-volume, low-latency trading scenarios.
- Debug complex issues in production environments and provide technical leadership to junior engineers.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in software engineering, specifically within FinTech or High-Frequency Trading (HFT).
- Strong proficiency in Python (NumPy, Pandas) and C++ (multi-threading, memory management).
- Deep understanding of Equity Options pricing models (Black-Scholes, Binomial trees) is highly preferred.
- Experience with market data protocols (FIX, FAST) and message queues (Kafka, RabbitMQ).
- Experience with cloud infrastructure (AWS or GCP) and containerization (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.