Job Description
Join our elite fintech team building next-generation equity options trading platforms! We're urgently seeking a passionate Software Engineer to architect high-performance systems for complex derivatives pricing, risk modeling, and real-time market data processing. This hybrid role (remote with optional Colorado Springs office access) offers the rare opportunity to work at the intersection of finance and cutting-edge technology.
Our stack includes Java, Python, low-latency C++, and cloud-native AWS infrastructure. You'll collaborate with PhD quants and senior traders to deliver mission-critical solutions that handle billions in daily volume. Enjoy competitive compensation, equity, and flexible work arrangements while solving some of finance's most challenging technical problems.
Responsibilities
- Design and implement microservices for options pricing algorithms and Greeks calculations
- Optimize trading systems for sub-millisecond latency requirements
- Develop real-time risk management dashboards using React and WebSocket technologies
- Integrate market data feeds (Bloomberg, Refinitiv) with proprietary trading engines
- Lead code reviews and mentor junior engineers on clean architecture principles
- Automate deployment pipelines using CI/CD and Kubernetes
Qualifications
- 5+ years in low-latency systems development (Java/C++/Python)
- Expertise in options pricing models (Black-Scholes, Binomial Trees)
- Experience with FIX protocol and trading system architectures
- Strong knowledge of distributed systems and cloud platforms (AWS/GCP)
- CS degree or equivalent practical experience in quantitative finance
- Proven ability to deliver under tight deadlines in regulated environments