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 across different asset classes.
Key Responsibilities:
As a High-Frequency Trading Software Developer, you will:
- Design and implement high-frequency automated trading systems.
- Enhance system performance through network and systems programming optimizations.
- Research and develop algorithms to minimize trading system latency.
- Develop tools for risk management and performance tracking.
- Oversee the end-to-end lifecycle of critical software modules, from design and deployment to optimization and support.
- Lead the core engineering team to drive innovation and efficiency.
Preferred Qualifications:
We’re seeking candidates with:
- A degree in Computer Science, Mathematics, or Engineering from a reputed institution.
- 4+ years of relevant work experience.
- Proficiency in C/C++ programming, along with expertise in object-oriented programming, data structures, and algorithms.
- Familiarity with Linux, Python, and shell scripting.
- Strong problem-solving and communication skills.
- Knowledge of TCP/IP, Ethernet, and parallel programming models.
- Prior experience in the HFT industry, hedge funds, or banks with a proven track record.
What We Offer:
- Competitive salary package
- Opportunity to work in a dynamic and collaborative environment
- Career growth and development opportunities
- Catered breakfast and lunch
- Annual international trip
- Monthly team dinners
Skills Required
- Degree in Computer Science, Mathematics, or Engineering from a reputed institution
- 5+ years of relevant work experience
- Proficiency in C/C++ programming
- Familiarity with Linux and Python
- Knowledge of TCP/IP and Ethernet
What We Do
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 across different asset classes
