Job Description
ApexQuant Solutions is a leading FinTech firm specializing in equity options analytics and algorithmic trading. We are currently looking for a talented Software Engineer to join our dynamic team in New York. We pride ourselves on offering a Daily Pay model, ensuring our employees have immediate access to their earnings. If you are passionate about quantitative finance and high-performance software development, we want to meet you.
As a key member of our engineering team, you will be instrumental in building the next generation of pricing engines and risk management tools that power our market-leading platforms.
Responsibilities
- Develop and maintain high-performance C++ and Python applications for pricing complex equity options and derivatives.
- Implement and optimize mathematical models, including Monte Carlo simulations and lattice methods.
- Collaborate with quantitative analysts to translate financial formulas into efficient code.
- Ensure low-latency execution and system stability in a high-frequency trading environment.
- Participate in the design and deployment of our Daily Pay payroll infrastructure to ensure seamless financial operations.
- Conduct code reviews, perform unit testing, and contribute to architectural discussions.
- Monitor system performance and troubleshoot production issues in real-time.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- 3+ years of professional experience in software engineering, with a focus on finance or high-frequency trading.
- Strong proficiency in C++ (advanced knowledge of STL, multithreading) and Python.
- Deep understanding of financial mathematics, including Black-Scholes, volatility surfaces, and Greeks.
- Experience with distributed systems and database technologies (PostgreSQL, Redis, Kafka).
- Familiarity with Linux environments and containerization technologies (Docker).
- Excellent problem-solving skills and the ability to work in a fast-paced, high-pressure environment.