Job Description
ApexQuant Solutions is a leading FinTech firm revolutionizing the way equity options are analyzed and traded. We are seeking a highly skilled Part-Time Software Engineer to join our elite engineering team in San Francisco. In this role, you will contribute to the development of our proprietary low-latency trading algorithms and risk management infrastructure.
This is a flexible, remote-friendly position requiring 20-25 hours per week. If you are passionate about high-performance systems and the intricacies of financial derivatives, we want to hear from you.
Responsibilities
- Design, develop, and maintain high-performance C++ and Python modules for our equity options pricing engine.
- Optimize existing codebases to reduce latency and improve execution speed in volatile market conditions.
- Collaborate with quantitative researchers to translate mathematical models into scalable software solutions.
- Conduct code reviews and contribute to the technical architecture of our trading platform.
- Ensure data integrity and security across all trading interfaces.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related quantitative field.
- 3+ years of professional software development experience, with a focus on low-latency systems or high-frequency trading.
- Strong proficiency in C++, Python, and modern Linux environments.
- Familiarity with financial concepts, specifically equity options, Black-Scholes models, and market data feeds.
- Ability to work independently and meet deadlines within a flexible schedule.