Job Description
Join our elite team of fintech innovators at Quantum Financial Technologies, where we're revolutionizing equity derivatives trading through cutting-edge software solutions. As a Senior Equity Options Software Engineer, you'll architect and develop high-performance trading platforms serving institutional clients across global markets. Enjoy the unique benefit of weekly pay while working on mission-critical systems that process billions in daily transactions.
We offer a dynamic hybrid work environment in our Manhattan headquarters, comprehensive benefits, and opportunities to work with industry leaders in options pricing, risk management, and market-making algorithms. If you're passionate about solving complex financial engineering challenges and want immediate compensation visibility, this is your next career-defining move.
Responsibilities
- Design and implement low-latency trading systems for equity options, exotic derivatives, and volatility products
- Develop and optimize pricing models (Black-Scholes, Monte Carlo, local volatility) using C++ and Python
- Build real-time risk analytics platforms supporting P&L, Greeks, and scenario analysis
- Create market data pipelines handling 10K+ messages/second with sub-microsecond latency
- Collaborate with quants to implement sophisticated hedging and execution strategies
- Maintain compliance with SEC, FINRA, and exchange regulations for derivatives trading
- Lead code reviews and technical documentation for mission-critical systems
Qualifications
- 5+ years experience in high-frequency trading or financial software development
- Expert proficiency in C++17/20 and Python with strong multithreading skills
- Deep understanding of equity options pricing, volatility surfaces, and market microstructure
- Experience with FIX protocol, exchange APIs (NYSE, CBOE, Nasdaq), and market data feeds
- Strong knowledge of Linux kernel, network stack optimization, and low-latency systems
- BS/MS in Computer Science, Mathematics, or Quantitative Finance
- Proven track record of shipping production systems handling >1M transactions/day
- Familiarity with cloud infrastructure (AWS/Azure) and Kubernetes deployment