Job Description
We are looking for a visionary Software Engineer to join our Quantitative Trading division. You will be responsible for building robust, high-performance systems that power our equity options trading engine and risk management protocols.
As a key member of our technology team, you will collaborate with quants and traders to develop low-latency algorithms that provide a competitive edge in the market.
Why Join Us?
• Competitive salary and equity compensation package.
• Cutting-edge technology stack including C++, Python, and cloud infrastructure.
• Flexible work environment in the heart of San Antonio.
Responsibilities
- Design, develop, and optimize high-frequency trading algorithms for equity options.
- Build and maintain scalable market data ingestion pipelines and order management systems.
- Collaborate with quantitative researchers to translate mathematical models into production-ready code.
- Implement rigorous risk management systems to monitor exposure and ensure compliance with financial regulations.
- Conduct code reviews and technical mentoring for junior developers.
- Debug and resolve complex performance bottlenecks in high-throughput environments.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or Finance.
- Strong proficiency in C++ and Python with a focus on memory management and performance optimization.
- Deep understanding of financial derivatives, specifically options pricing models (Black-Scholes, Binomial, etc.).
- Experience with distributed systems, microservices architecture, and cloud platforms (AWS/Azure).
- Familiarity with message brokers (Kafka, RabbitMQ) and real-time data technologies.
- Strong problem-solving skills and ability to work in a fast-paced, agile environment.