Job Description
Are you a skilled software engineer passionate about the intersection of finance and technology? Memphis QuantTech Solutions is seeking a highly motivated Part-Time Equity Options Software Engineer to join our innovative team in Memphis, TN. In this role, you will help build and maintain the sophisticated pricing engines and data analysis tools that drive our competitive edge in the derivatives market.
We are looking for a self-starter who can work flexible hours to contribute to critical projects while enjoying the benefits of a dynamic, high-growth environment. If you have a knack for complex algorithms and a deep interest in equity options, we want to hear from you.
Responsibilities
- Develop, test, and maintain quantitative software models for equity options pricing, including Monte Carlo simulations and volatility surface interpolation.
- Optimize existing C++ and Python codebases to ensure low-latency execution for high-frequency trading strategies.
- Collaborate with quantitative analysts to translate financial models into robust software applications.
- Design and implement APIs for real-time market data ingestion and order management systems.
- Conduct code reviews and provide technical mentorship to junior engineering staff.
- Ensure data integrity and security across all financial modeling platforms.
- Debug and resolve complex technical issues related to market data feeds and position reconciliation.
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, Physics, or a related quantitative field.
- 3+ years of professional software development experience, preferably in a financial or fintech environment.
- Strong proficiency in C++ and Python with experience in libraries such as NumPy, Pandas, and QuantLib.
- Deep understanding of options pricing theory, Greeks, and market mechanics (Black-Scholes, Binomial Trees).
- Experience with relational databases (SQL) and NoSQL databases.
- Familiarity with distributed systems and cloud platforms (AWS/Azure).
- Ability to work effectively in a part-time capacity while managing tight deadlines.