Job Description
Join our elite fintech team as a Senior Equity Options Software Engineer and revolutionize derivative trading systems. We're seeking a visionary engineer to architect low-latency solutions for complex options pricing models and risk analytics platforms. Work remotely while collaborating with world-class quantitative analysts to build scalable infrastructure handling billions in daily transactions.
Our engineers operate at the intersection of high-performance computing and financial innovation. You'll develop cutting-edge algorithms for volatility modeling, hedging strategies, and market-making systems. We offer competitive equity, comprehensive benefits, and opportunities to shape the future of algorithmic trading.
Responsibilities
- Design and implement high-performance C++/Python modules for options pricing engines and risk models
- Optimize trading infrastructure for microsecond latency in options execution and settlement
- Collaborate with quants to develop sophisticated volatility surfaces and Greeks calculations
- Architect distributed systems handling real-time market data processing for 10M+ events/sec
- Lead code reviews and mentor junior engineers on financial domain best practices
- Implement rigorous testing frameworks for options strategies across 50+ global markets
- Contribute to open-source fintech libraries and industry-standard protocols
Qualifications
- Bachelor's degree in Computer Science, Mathematics, or Engineering (MS/PhD preferred)
- 5+ years experience in low-latency systems development for financial markets
- Expert proficiency in C++17/20 and Python with strong multithreading expertise
- Deep understanding of Black-Scholes, binomial trees, and Monte Carlo simulation methods
- Proven track record optimizing trading systems for options derivatives (vanilla/exotic)
- Familiarity with FIX protocol, market data feeds (ITCH/ITCH), and exchange connectivity
- Experience with cloud-native deployments (AWS/GCP) and container orchestration
- Strong knowledge of Linux kernel tuning and network stack optimization