Job Description
Are you a visionary software engineer passionate about the intersection of finance and cutting-edge technology? NOLA Quant Strategies is seeking a talented individual to join our elite engineering team in the heart of New Orleans.
We are pioneers in equity options execution and market making. Our mission is to build scalable, robust systems that handle millions of data points per second. If you thrive in a fast-paced, high-stakes environment and want to leverage your coding skills to shape the future of financial markets, this is the role for you.
Why Join Us?
• Impactful Work: Build the infrastructure that drives liquidity in the options market.
• Modern Tech Stack: Work with C++, Python, and Kubernetes in a cloud-native environment.
• Competitive Compensation: Base salary + Performance Bonuses + Comprehensive Benefits.
• Location: Enjoy the unique culture and affordability of New Orleans while working for a top-tier firm.
Responsibilities
- Design, implement, and maintain high-performance trading algorithms for equity options execution.
- Analyze market microstructure and develop strategies to optimize fill rates and reduce slippage.
- Collaborate with quantitative researchers to translate mathematical models into production-ready code.
- Ensure system reliability, scalability, and security for low-latency trading environments.
- Debug complex performance issues and implement continuous integration/continuous deployment (CI/CD) pipelines.
- Conduct code reviews and mentor junior engineers to maintain high technical standards.
- Monitor system health and implement fail-safes to mitigate trading risks.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Electrical Engineering, or a related quantitative field.
- Strong proficiency in C++ (preferred) and Python for data analysis and scripting.
- Deep understanding of options pricing models (Black-Scholes, Binomial, etc.) and derivatives markets.
- Experience with Linux environments, multithreading, and low-latency system architecture.
- Familiarity with distributed systems, message queues (Kafka, RabbitMQ), and cloud platforms (AWS/GCP).
- Excellent problem-solving skills and the ability to work under pressure in a deadline-driven environment.