Job Description
Are you a visionary Software Engineer passionate about the complexities of equity options and financial markets? Apex Derivatives Systems is currently hiring for a critical role in our Colorado Springs hub. We are looking for a top-tier talent to join our remote-first team and help architect the next generation of high-frequency pricing engines.
In this role, you will work at the intersection of mathematics and computer science, utilizing low-latency technologies to solve complex pricing problems. We offer a competitive compensation package and a culture that values innovation, autonomy, and rapid growth.
Why Join Us?
- Remote-First Culture: Work from anywhere in the US with a flexible schedule.
- Urgent Hiring: We are expanding rapidly and looking to onboard immediately.
- Top-Tier Compensation: Competitive salary plus performance bonuses.
- Impactful Work: Directly influence the algorithms that drive the market.
Responsibilities
- Develop Pricing Engines: Design, code, and optimize high-performance software for pricing equity options in real-time.
- Algorithm Implementation: Implement complex mathematical models, including Black-Scholes and Monte Carlo simulations, into production code.
- System Optimization: Continuously refactor code to reduce latency and improve throughput for our trading infrastructure.
- Collaboration: Work closely with quantitative analysts and traders to translate market requirements into technical solutions.
- Testing & Deployment: Ensure rigorous testing protocols and seamless CI/CD pipeline integration for new features.
- Documentation: Maintain detailed technical documentation for system architecture and algorithms.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
- Experience: 5+ years of software engineering experience, preferably in financial technology or quantitative trading.
- Technical Skills: Proficiency in C++ or Python with a strong understanding of data structures and algorithm design.
- Domain Knowledge: Solid understanding of financial derivatives, specifically equity options and volatility modeling.
- System Design: Experience building distributed systems and handling high-concurrency environments.
- Tools: Familiarity with Linux environments, Docker, and cloud platforms (AWS/GCP).