Job Description
Join Quantum Financial Systems Inc., a leader in fintech innovation, as our Equity Options Software Engineer. This weekend shift role (Friday-Sunday) offers the unique opportunity to build cutting-edge trading platforms while enjoying weekdays free for personal pursuits. You'll collaborate with top-tier engineers to develop low-latency systems handling complex derivatives pricing and risk management algorithms. Our Fresno campus combines Silicon Valley-caliber challenges with exceptional work-life balance.
We're seeking a detail-oriented professional passionate about financial technology and distributed systems. You'll work on mission-critical infrastructure supporting $1B+ daily trading volumes while enjoying competitive benefits and flexible scheduling. This role is perfect for engineers who thrive in high-stakes environments and value work-life integration.
Responsibilities
- Design and implement high-performance C++/Python modules for equity options pricing and risk analytics
- Develop distributed trading systems handling 10,000+ transactions per second with sub-millisecond latency
- Create real-time market data pipelines processing tick data from NYSE/NASDAQ exchanges
- Build audit trails and compliance monitoring tools for SEC/FINRA regulatory requirements
- Optimize database schemas and caching strategies for terabyte-scale financial datasets
- Collaborate with quants to implement Black-Scholes and Monte Carlo pricing models
- Perform stress testing and failover simulations for production trading systems
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field (MS preferred)
- 5+ years experience in low-latency financial software development
- Expert proficiency in C++17/Python with multithreading and memory optimization
- Deep understanding of equity options, volatility surfaces, and Greeks (Delta/Gamma/Vega)
- Experience with Linux kernel tuning and TCP/IP stack optimization
- Familiarity with FIX protocol, OMS/EMS architectures, and exchange connectivity
- Strong background in distributed systems (Kafka, gRPC, Redis) and cloud platforms (AWS/GCP)
- CI/CD expertise with Kubernetes and Terraform for infrastructure-as-code