Job Description
We are seeking a world-class Equity Options Software Engineer to join our elite engineering team in San Francisco. In this pivotal role, you will be building the financial infrastructure that powers the next generation of options trading platforms. We are looking for a self-motivated individual who thrives in a fast-paced environment and is eager to contribute to immediate, high-impact projects.
As part of our dynamic fintech ecosystem, you will bridge the gap between complex quantitative finance models and robust, scalable software engineering. If you are passionate about low-latency systems and the intricacies of the options market, we want to hear from you.
Responsibilities
- Design and implement low-latency, high-performance software for real-time options pricing and risk analytics engines.
- Collaborate closely with quantitative researchers and traders to translate mathematical models into efficient, production-ready code.
- Optimize system architectures and database queries to handle high-volume market data streams with minimal latency.
- Integrate with major market data providers (e.g., Bloomberg, Refinitiv) and internal exchange APIs to ensure data integrity.
- Conduct rigorous code reviews, unit testing, and debugging to maintain the highest standards of code quality and system stability.
- Develop and maintain automated testing frameworks to ensure regulatory compliance and system reliability.
- Stay abreast of emerging technologies in financial technology (FinTech) and implement best practices for cloud infrastructure (AWS/Azure).
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- Strong proficiency in C++, Python, or Java with specific experience in high-performance computing.
- Demonstrated experience in financial derivatives, specifically Equity Options, pricing models (Black-Scholes, Binomial Tree), and Greeks calculations.
- Experience with distributed systems, microservices, and cloud-based deployment strategies.
- Deep understanding of risk management frameworks and compliance requirements in the financial sector.
- Excellent problem-solving skills and the ability to work effectively in a collaborative, agile team environment.
- Experience with Linux environments, Docker, and Kubernetes is a strong plus.