Job Description
Are you a visionary Software Engineer with a passion for the financial markets?
Apex Derivatives Technologies is seeking a highly skilled Part-Time Equity Options Software Engineer to join our elite team. We are a premier financial technology firm driving innovation in options trading and risk management. We are actively hiring for our Houston, TX headquarters, with the flexibility to accommodate remote candidates in Virginia and beyond.
In this role, you will be at the forefront of developing robust, high-performance trading systems that handle complex equity options data. You will work closely with quantitative researchers to bridge the gap between theoretical financial models and executable code. If you thrive in a fast-paced environment and possess deep expertise in low-latency systems, this is your opportunity to make a significant impact on the industry.
Apex Derivatives Technologies is seeking a highly skilled Part-Time Equity Options Software Engineer to join our elite team. We are a premier financial technology firm driving innovation in options trading and risk management. We are actively hiring for our Houston, TX headquarters, with the flexibility to accommodate remote candidates in Virginia and beyond.
In this role, you will be at the forefront of developing robust, high-performance trading systems that handle complex equity options data. You will work closely with quantitative researchers to bridge the gap between theoretical financial models and executable code. If you thrive in a fast-paced environment and possess deep expertise in low-latency systems, this is your opportunity to make a significant impact on the industry.
Responsibilities
- Develop, optimize, and maintain low-latency software components for equity options trading platforms.
- Implement and refine mathematical models for option pricing and volatility surface analysis.
- Collaborate with the risk management team to build real-time monitoring tools for derivative portfolios.
- Ensure data integrity and security across multi-asset class trading systems.
- Conduct code reviews and architectural planning to ensure system scalability and robustness.
- Debug complex issues in high-frequency trading environments to minimize downtime.
Qualifications
- Master’s or Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- Strong proficiency in C++ (or Java) with specific experience in low-latency financial systems.
- Deep understanding of equity options, derivatives, and financial instruments (e.g., Black-Scholes, Greeks, implied volatility).
- Experience with multi-threading, memory management, and high-availability system architecture.
- Familiarity with FIX protocol, RESTful APIs, and database technologies (PostgreSQL, Redis).
- Excellent problem-solving skills and the ability to work independently in a remote or hybrid setting.