Job Description
Are you a visionary Software Engineer looking to disrupt the financial markets? ApexQuant Systems is seeking a top-tier talent to join our elite engineering team in Austin, TX. We build the core infrastructure powering next-generation equity options analytics and trading algorithms.
In this role, you will bridge the gap between complex financial mathematics and robust, scalable software architecture. You will work directly with Quants and Traders to build tools that handle millions of transactions daily. If you are passionate about high-frequency trading systems and want to earn competitive equity compensation, this is your chance to make an impact.
Why Join Us?
- Competitive Weekly Pay: Enjoy the stability of weekly compensation while working on high-stakes projects.
- Equity Options: Receive substantial stock options as part of your compensation package.
- Modern Stack: Work with the latest technologies including Python, C++, and Go.
Don't miss this opportunity to advance your career in one of the fastest-growing tech hubs in the U.S. Apply today and let's shape the future of finance together.
Responsibilities
- Design, develop, and maintain high-performance software systems for real-time options pricing and risk management.
- Collaborate with quantitative analysts to translate mathematical models into production-ready code.
- Optimize database queries and system latency to ensure sub-millisecond execution speeds.
- Participate in code reviews, architecture planning, and technical mentoring for junior engineers.
- Implement robust security measures to protect sensitive financial data and trading algorithms.
- Debug complex issues in distributed systems and troubleshoot production incidents.
Qualifications
- Bachelor’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
- 3+ years of experience in software development, preferably within the Fintech or Financial Services sector.
- Proficiency in at least two of the following languages: Python, C++, Java, or Go.
- Strong understanding of data structures, algorithms, and multi-threading concepts.
- Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
- Familiarity with financial derivatives, options pricing models (Black-Scholes), or risk management systems is a plus.