Job Description
Join our dynamic fintech team building next-generation trading platforms for equity derivatives! As an Entry-Level Equity Options Software Engineer, you'll develop mission-critical systems that power global financial markets. Collaborate with quantitative analysts and traders to create low-latency trading algorithms, risk management tools, and real-time analytics platforms. Our Charlotte hub offers hybrid work arrangements, competitive compensation, and structured mentorship programs for emerging tech talent.
We're seeking passionate problem-solvers who thrive in fast-paced environments. You'll work with cutting-edge technologies including Java, Python, and cloud-native architectures while gaining exposure to complex financial instruments. This role provides exceptional growth opportunities in the rapidly expanding derivatives technology sector.
Responsibilities
- Develop and maintain high-performance trading systems for equity options pricing and execution
- Implement real-time market data processing and analytics using Java/Python
- Collaborate with quants to translate financial models into production code
- Build automated testing frameworks for trading algorithms and risk models
- Optimize low-latency systems for microsecond-level market data handling
- Contribute to cloud infrastructure deployments on AWS/Azure
- Document technical specifications and create API documentation
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related quantitative field
- 0-2 years of professional software development experience
- Strong proficiency in Java or Python with knowledge of multithreading
- Familiarity with SQL databases and data structures/algorithms
- Basic understanding of financial markets and derivatives concepts
- Experience with Linux environments and version control systems (Git)
- Problem-solving skills demonstrated through competitive programming or projects
- Excellent communication skills for cross-functional collaboration