Quant Researcher - 2026 Batch

Reposted 15 Days Ago
Easy Apply
Be an Early Applicant
3 Locations
In-Office
Internship
Fintech • Payments • Financial Services
The Role
As a Quantitative Researcher, you'll develop trading models, analyze financial data, support traders, and create predictive models for market movements.
Summary Generated by Built In

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 

Qualifications:
The ideal candidate will possess:

  • A degree in Computer Science, Mathematics, or Engineering from a leading institution.
  • Graduation year should be 2026
  • 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.

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 and domestic trips
  • Monthly team dinners

Top Skills

C
C++
Linux
Python
Shell Scripting
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The Company
Gurgaon, Haryana
79 Employees
Year Founded: 2011

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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