Job Description
Are you ready to engineer the future of financial markets? ApexQuant Analytics is seeking a visionary Software Engineer to join our elite team in Sacramento. We specialize in high-frequency trading algorithms and complex derivative pricing models. If you are passionate about building low-latency systems that power multi-billion dollar equity option portfolios, this is your opportunity to shape the financial landscape.
Why Join Us?
We are at the forefront of algorithmic trading, leveraging cutting-edge technology to solve complex market challenges. You will work alongside world-class quants and engineers to build systems that process millions of trades per second with precision and speed.
Responsibilities
- Develop and maintain high-performance C++ trading engines optimized for equity options execution and settlement.
- Collaborate with quantitative analysts to translate complex financial models into scalable, low-latency software architecture.
- Implement and optimize Monte Carlo simulation algorithms for advanced volatility surface modeling.
- Ensure system resilience, zero downtime, and sub-millisecond latency in production environments.
- Design robust microservices for real-time risk management, position monitoring, and PnL calculation.
- Conduct rigorous code reviews, technical mentoring, and drive engineering best practices across the team.
Qualifications
- Master’s or Bachelor’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- 5+ years of professional experience in low-latency C++ development within the Fintech sector.
- Deep understanding of options pricing models (Black-Scholes, Binomial Trees, Finite Difference) and derivatives markets.
- Proficiency in Python for data analysis, algorithm prototyping, and backtesting.
- Experience with message brokers (Kafka, Pulsar) and distributed systems architectures.
- Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment.