Job Description
Are you ready to engineer the future of financial markets? OmahaQuant Solutions is seeking a talented Equity Options Software Engineer to join our elite quantitative trading division.
At OmahaQuant, we don't just react to the market; we model and predict it. You will be at the forefront of building sophisticated pricing engines and risk management systems that power our high-frequency trading strategies. If you thrive in a fast-paced, high-performance environment and love turning complex mathematical theories into robust, scalable code, we want to hear from you.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Work with state-of-the-art low-latency systems.
- Collaborate with world-class quants and engineers.
- Flexible remote and hybrid work options in Omaha, NE.
Responsibilities
- Model Development: Design, implement, and optimize mathematical models for equity options pricing, including volatility surface modeling and Monte Carlo simulations.
- System Architecture: Build and maintain high-performance, low-latency software infrastructure to support real-time trading decisions.
- Data Engineering: Integrate and process vast datasets from market feeds to improve model accuracy and algorithmic efficiency.
- Risk Management: Develop and integrate risk management tools to monitor exposure and ensure compliance with trading constraints.
- Code Quality: Write clean, maintainable, and well-tested code, adhering to industry best practices and architectural standards.
- Collaboration: Partner closely with quantitative researchers and traders to translate market insights into software solutions.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- Programming: Proficiency in C++ (required) and Python (required). Experience with GPU computing (CUDA) is a plus.
- Domain Knowledge: Strong understanding of financial derivatives, options pricing theory (Black-Scholes, binomial trees), and stochastic calculus.
- Experience: 3+ years of experience in software engineering, preferably within the finance, fintech, or quantitative trading sector.
- Tools: Familiarity with version control (Git), CI/CD pipelines, and containerization (Docker).
- Problem Solving: Ability to debug complex systems and optimize algorithms for speed and efficiency.