Design, implement, and maintain low-latency automated trading systems focused on reliability, scalability, and performance. Optimize network and systems-level code, develop latency-reduction algorithms, build risk/monitoring tools, drive automation and testing, improve code reusability across exchanges, and lead core engineering efforts.
NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes.
Key Responsibilities:
As a High-Frequency Trading Software Developer, you will:
- Design, implement, and maintain high-frequency automated trading systems with a focus on reliability, performance, and scalability.
- Optimize system performance through advanced network and systems programming techniques.
- Research and develop algorithms to minimize trading system latency.
- Build tools for risk management, system monitoring, and performance tracking.
- Drive automation and keep manual processes to a minimum, with a strong commitment to testing and quality assurance.
- Understand and integrate ad-hoc use-case scenarios into the existing codebase to improve reusability and scalability across different exchanges.
- Lead the core engineering team in driving innovation and maintaining high engineering standards.
- Be humble, unafraid, and unapologetic about asking questions, admitting mistakes, and engaging in constructive discussions.
Preferred Qualifications:
We're seeking candidates with:
We're seeking candidates with:
- A degree in Computer Science, Mathematics, or Engineering from a reputed institution.
- 0-4 years of relevant work experience.
- Proficiency in C/C++ programming with strong fundamentals in object-oriented programming, data structures, and algorithms.
- Familiarity with Linux, Python, and shell scripting.
- Solid problem-solving and communication skills.
- Understanding of TCP/IP, Ethernet, and parallel programming models.
- Ideal candidate should have reliable and predictable availability.
- A track record of independently tackling challenging technical problems, as well as effectively contributing as part of a team.
- Prior experience in the HFT industry, hedge funds, or banks with a proven track record is a plus.
What We Offer:
- Competitive salary package.
- A dynamic, high-performance, and collaborative work environment.
- Strong focus on career growth and development.
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