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.
Responsibilities:
As a Quantitative Researcher, you will:
• Develop and enhance trading models using our in-house platform
• Analyze extensive financial data sets to unearth trading opportunities
• Provide analytical support to our experienced traders
• Develop predictive models for market movements
• Mentor interns and freshers, grooming them as future team mates
Qualifications:
The ideal candidate will possess:
- A degree in Computer Science, Mathematics, or Engineering from a leading institution.
- 4+ years of relevant work experience.
- Exceptional analytical and problem-solving skills.
- Proficiency in programming, particularly in C++ or C.
- Working knowledge of Linux, Python, and shell scripting.
- A curious mindset and a passion for understanding complex systems.
- A disciplined and consistent work ethic.
- Strong communication and interpersonal skills.
- Previous experience in a startup or the High-Frequency Trading (HFT) industry will be an added advantage.
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
- A degree in Computer Science, Mathematics, or Engineering from a leading institution
- 2-5 years of relevant work experience
- Exceptional analytical and problem-solving skills
- Proficiency in programming, particularly in C++ or C
- Working knowledge of Linux, Python, and shell scripting
- Strong communication and interpersonal skills
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
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