Job Description
Join our cutting-edge fintech team as a part-time Equity Options Software Engineer and revolutionize derivative trading systems. We're seeking a technically brilliant innovator to build low-latency solutions that power institutional options trading platforms.
At Quantum Financial Technologies, you'll work alongside PhD quants and senior engineers to architect complex financial models, optimize trading algorithms, and deliver mission-critical software. This hybrid role offers flexible scheduling while tackling high-impact projects in a collaborative, agile environment.
Perfect for experienced engineers seeking part-time engagement with competitive compensation and professional growth opportunities. Shape the future of quantitative finance while maintaining work-life balance.
Responsibilities
- Design and develop high-performance software for equity options pricing, risk management, and trading execution
- Collaborate with quantitative analysts to implement and optimize Black-Scholes, binomial trees, and exotic option models
- Build and maintain real-time market data ingestion systems with sub-microsecond latency requirements
- Develop robust APIs for options analytics and risk calculations across multiple asset classes
- Implement automated testing frameworks for complex financial algorithms and trading strategies
- Optimize C++ and Python code for maximum throughput in high-frequency trading environments
Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or Finance (Master's preferred)
- 3+ years of experience in low-latency systems development for financial derivatives
- Expert proficiency in C++ and Python with strong knowledge of multi-threading and memory management
- Deep understanding of equity options pricing models, volatility surfaces, and risk metrics
- Experience with FIX protocol, exchange connectivity, and market data feeds (NYSE, NASDAQ, CBOE)
- Familiarity with Linux environments, Docker, and cloud deployment (AWS/GCP)
- Ability to work independently with minimal oversight while meeting strict deadlines