Job Description
Are you ready to drive innovation in the world of high-frequency trading?
ApexQuant Solutions is a leading FinTech firm specializing in advanced equity options analytics and trading execution. We are looking for a highly skilled Software Engineer to join our elite engineering team in Baltimore, MD. If you are passionate about building scalable systems, optimizing low-latency infrastructure, and working with cutting-edge financial technologies, we want to meet you.
As a key member of our team, you will be responsible for architecting robust trading engines and developing real-time data processing pipelines that power our global equity options platform. You will collaborate closely with quantitative analysts and traders to translate complex financial strategies into high-performance code.
Why Join Us?
- Competitive Compensation: Salary range of $140k - $190k plus performance bonuses.
- Equity Package: Generous stock options in a high-growth company.
- Modern Tech Stack: Work with C++, Python, Rust, and Kubernetes.
- Hybrid Work Culture: Flexible schedule supporting both in-office (Baltimore) and remote collaboration.
Responsibilities
- Design, develop, and maintain low-latency trading systems and execution engines specifically for equity options.
- Optimize existing codebases to reduce latency and improve throughput in high-volume market environments.
- Collaborate with quantitative researchers to implement and test algorithmic trading strategies.
- Ensure data integrity and security across all financial data repositories and APIs.
- Conduct code reviews, technical mentoring, and contribute to engineering best practices and documentation.
- Participate in the full software development lifecycle, from requirements gathering to deployment and monitoring.
- Debug and resolve critical issues in production trading environments with minimal downtime.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
- 5+ years of professional software engineering experience, preferably in the financial services or high-frequency trading industry.
- Strong proficiency in C++ and/or Python, with a deep understanding of memory management and system architecture.
- Experience with distributed systems, message queues (Kafka, RabbitMQ), and cloud infrastructure (AWS or GCP).
- Familiarity with equity options markets, derivatives pricing models, or trading algorithms is a significant plus.
- Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.
- Strong communication skills and the ability to translate technical concepts for non-technical stakeholders.