Job Description
Join our elite fintech team building next-generation equity options trading platforms at the intersection of high-frequency finance and cutting-edge technology. We're seeking a passionate Software Engineer to architect low-latency systems that process billions in daily derivatives transactions. This immediate hire opportunity offers unparalleled impact in Seattle's thriving tech scene with hybrid work flexibility and competitive equity packages.
Our engineers collaborate with traders, quants, and regulatory experts to develop mission-critical infrastructure handling complex financial instruments. You'll work in an agile environment using modern cloud-native architectures while solving high-stakes problems in real-time market data processing, risk modeling, and automated execution systems.
Responsibilities
- Design and implement high-performance C++/Java trading systems handling equity options pricing and risk calculations
- Optimize low-latency market data ingestion and order execution pipelines for microsecond-level precision
- Develop robust risk management frameworks for complex derivatives portfolios
- Create automated testing suites for financial models and trading algorithms
- Collaborate with cross-functional teams to deliver scalable cloud infrastructure solutions
- Maintain compliance with SEC/FINRA regulations for derivatives trading platforms
- Mentor junior engineers on financial software best practices and clean code principles
Qualifications
- 5+ years experience in financial software development, specifically with equity options or derivatives
- Expert proficiency in C++ and Java with demonstrable experience in high-performance systems
- Strong understanding of Black-Scholes models, Monte Carlo simulations, and volatility surfaces
- Proven track record optimizing trading systems for sub-millisecond latency
- Familiarity with FIX protocol, exchange connectivity, and market data standards
- Experience with cloud platforms (AWS/GCP) and container orchestration (Kubernetes)
- BS/MS in Computer Science, Mathematics, or Financial Engineering