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Quant Researcher at NK Securities Research — BranchFactor

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Quant Researcher

NK Securities Research · Gurugram

Posted 20 Nov 2024

BranchFactor Summary

The original posting with the fluff stripped out

Expected experience: 0–4 yrs
Management level: People management

Compensation

No salary listed for this role.

Role speciality

High Frequency TradingQuantitative Research

Useful technologies

CC++LinuxPython

Original posting

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 teammates

Which skills are in demand for this role? →

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Qualifications:
The ideal candidate will possess:

A degree in Computer Science, Mathematics, or Engineering from a leading institution.
0-4 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 and domestic trips
Monthly team dinners

Which skills are in demand for this role? →

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Sourced from greenhouse · original listing