Job Description
Are you an elite engineer ready to build the infrastructure of the future of finance? ApexQuant Systems is revolutionizing the Equity Options landscape by delivering lightning-fast, algorithmic trading solutions. We are looking for a Senior Software Engineer to join our high-performance remote team based in the financial hub of Boston, MA.
In this role, you will bridge the gap between complex quantitative mathematics and robust, scalable software architecture. You will be instrumental in developing low-latency pricing engines and risk management systems that power our proprietary options trading platform. If you thrive in a dynamic environment where your code directly impacts multi-million dollar trades, we want to meet you.
Why Join ApexQuant?
- Remote-First Culture: Work from anywhere in the US while collaborating with top-tier talent across Boston and beyond.
- Equity Compensation: Competitive base salary plus a significant equity stake in a fast-growing fintech unicorn.
- Premium Benefits: Comprehensive health, dental, vision, and 401(k) matching.
- Continuous Learning: Access to the latest in financial technology and algorithmic trading research.
Responsibilities
- Design, develop, and optimize low-latency trading algorithms specifically for Equity Options markets.
- Implement and maintain high-frequency trading systems using C++ and Python to ensure millisecond-level execution speed.
- Collaborate closely with quants and financial analysts to translate complex option pricing models (e.g., Black-Scholes, Monte Carlo) into production-grade code.
- Ensure the reliability and data integrity of our trading infrastructure, minimizing downtime and latency spikes.
- Conduct code reviews and mentor junior engineers to uphold the highest standards of software quality and security.
- Identify technical bottlenecks in existing systems and architect scalable solutions to handle high-volume market data streams.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
- 5+ years of professional software engineering experience, with at least 2 years specifically in financial services or high-frequency trading.
- Deep understanding of Options Trading mechanics, Greeks, and market microstructure.
- Expert proficiency in C++ (low-level memory management, threading, concurrency) and Python (data analysis, libraries like NumPy/Pandas).
- Experience with distributed systems, message brokers (Kafka, RabbitMQ), and cloud platforms (AWS or GCP).
- Familiarity with Linux environments and performance profiling tools (Valgrind, perf).
- Strong problem-solving skills and the ability to work independently in a remote-first environment.