Job Description
We are seeking a highly skilled and analytical Software Engineer to join our elite trading technology team in Austin, Texas. In this part-time role, you will play a pivotal part in developing and maintaining our proprietary equity options pricing engines and risk management tools. We value deep technical expertise, financial acumen, and the ability to deliver high-performance code under tight deadlines.
As a member of our agile squad, you will bridge the gap between quantitative finance and software engineering, ensuring our platforms remain at the cutting edge of the market. Enjoy the flexibility of a part-time schedule while working on high-impact projects that drive our trading strategies.
Why Join Us?
- Competitive hourly compensation commensurate with experience.
- Work with state-of-the-art technology in a fast-paced financial environment.
- Flexible part-time hours designed for high-performers.
Responsibilities
- Design, develop, and optimize algorithms for real-time equity options valuation and volatility surface modeling.
- Collaborate with quantitative analysts and traders to translate complex financial models into efficient Python and C++ code.
- Ensure data integrity and low-latency performance across our high-frequency trading infrastructure.
- Maintain and extend our legacy pricing libraries, refactoring code for scalability and maintainability.
- Conduct code reviews and mentor junior engineers within the team.
- Participate in incident response and troubleshooting for production trading systems.
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
- 3+ years of professional experience in software engineering, preferably within financial services or fintech.
- Strong proficiency in Python (Pandas, NumPy, SciPy) and/or C++.
- Deep understanding of options pricing theory (Black-Scholes, Binomial trees) and market microstructure.
- Experience with distributed systems, cloud platforms (AWS/Azure), and containerization (Docker/Kubernetes).
- Excellent problem-solving skills and the ability to work independently in a remote or hybrid setting.