Job Description
Join our cutting-edge fintech team in Nashville as an Entry-Level Equity Options Software Engineer! We're revolutionizing derivatives trading platforms with innovative technology, and we need passionate problem-solvers to build the next generation of financial software. This remote-friendly role offers competitive compensation, mentorship from industry experts, and the chance to work on high-impact projects that shape global markets.
Our collaborative environment values curiosity, technical excellence, and continuous learning. You'll develop scalable solutions for option pricing models, risk analytics systems, and trading interfaces while gaining exposure to real-world financial markets. Enjoy flexible work arrangements, comprehensive benefits, and career growth opportunities in one of America's fastest-growing tech hubs.
Responsibilities
- Develop and maintain low-latency software for equity options pricing and risk analytics
- Build microservices supporting options trading workflows and market data processing
- Implement unit tests, integration tests, and CI/CD pipelines for financial systems
- Collaborate with quants and traders to translate requirements into technical specifications
- Optimize algorithms for high-frequency trading scenarios and market data ingestion
- Contribute to documentation of financial models and system architecture
- Monitor system performance and troubleshoot production issues in trading environments
Qualifications
- Bachelor's degree in Computer Science, Engineering, or quantitative field (2023 graduates welcome)
- Proficiency in Python, Java, or C++ with strong data structures fundamentals
- Experience with SQL databases and Linux/Unix environments
- Familiarity with financial derivatives concepts (options, futures, swaps)
- Understanding of multithreading, concurrency, and distributed systems
- Knowledge of version control (Git) and agile development practices
- Problem-solving skills demonstrated through coding challenges or personal projects
- Excellent communication abilities for cross-functional collaboration