Job Description
We are seeking a visionary Software Engineer to join our elite trading division in Memphis, TN. If you are passionate about equity options, algorithmic trading, and building robust, low-latency systems, this is your chance to shape the future of financial technology.
In this role, you will be responsible for architecting and maintaining the core infrastructure that powers our market-making strategies. You will work in a fast-paced environment where precision and speed are paramount, leveraging modern cloud-native architectures to manage complex derivative pricing models.
Why Join Us?
- Competitive base salary with performance bonuses.
- Comprehensive health, dental, and vision plans.
- Generous Equity Options package for all employees.
- Flexible remote work options and continuous learning budget.
Ready to code the future of trading? Apply today!
Responsibilities
- Develop High-Frequency Trading Systems: Design and implement low-latency software solutions optimized for real-time equity options data processing.
- Algorithm Optimization: Collaborate with quantitative researchers to refine and back-test trading algorithms for maximum efficiency.
- Infrastructure Maintenance: Ensure high availability and scalability of our trading platforms by implementing robust monitoring and alerting systems.
- Risk Management Integration: Build and integrate risk management tools to ensure compliance with SEC regulations and internal risk limits.
- API Development: Create and maintain RESTful and WebSocket APIs for seamless data exchange between trading floors and external partners.
- Code Quality Assurance: Conduct rigorous code reviews and unit testing to ensure system stability and security.
Qualifications
- Education: Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related technical field.
- Experience: 3+ years of professional software engineering experience, preferably within the FinTech or Trading industry.
- Technical Skills: Strong proficiency in C++ or Java for systems programming; experience with Python for data analysis.
- Knowledge: Deep understanding of financial markets, specifically equity options and derivatives pricing (Black-Scholes models).
- Tools: Experience with message queues (Kafka, RabbitMQ) and distributed databases.
- Soft Skills: Excellent problem-solving abilities and the capacity to work effectively under pressure in a dynamic team environment.