Job Description
Join our elite financial engineering team at Quantum Financial Technologies! We're urgently seeking a Senior Software Engineer to revolutionize equity options trading platforms. This high-impact role combines cutting-edge software development with deep financial market expertise, allowing you to build mission-critical systems that process billions in daily transactions.
Work in our state-of-the-art Long Beach headquarters alongside world-class quants and traders. You'll architect scalable solutions for options pricing models, risk analytics, and high-frequency trading systems. Our culture champions innovation – expect to work with microservices, cloud-native architectures, and AI-driven optimization tools.
We offer unmatched career growth, comprehensive equity packages, and the opportunity to shape the future of fintech. If you're passionate about solving complex financial puzzles through elegant code, this is your moment.
Responsibilities
- Design and develop low-latency trading systems for equity derivatives and options pricing
- Implement FIX protocol integrations with global exchanges and dark pools
- Build real-time risk analytics platforms handling 10K+ transactions per second
- Optimize Monte Carlo simulations and binomial tree algorithms for exotic options
- Collaborate with quants to translate complex financial models into production code
- Architect cloud-native solutions using Kubernetes and AWS services
- Mentor junior engineers and drive technical excellence through code reviews
- Ensure 99.99% system uptime through rigorous testing and monitoring
Qualifications
- Bachelor's/Master's in Computer Science, Mathematics, or related field
- 5+ years experience in high-frequency trading or financial software
- Expert proficiency in C++/Java with multi-threading mastery
- Deep understanding of equity derivatives, Black-Scholes models, and Greeks
- Proven track record with FIX protocol, market data feeds, and exchange APIs
- Experience with distributed systems and microservices architecture
- Strong Linux/Unix systems programming background
- Excellent problem-solving skills with complex quantitative challenges