NK Securities Research

Proprietary high-frequency trading and market making

Software Developer

Backend EngineeringConfirmed live in the last 24 hours

Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

A degree in Computer Science, Mathematics, or Engineering from a reputed institution is preferred.
0–3 years of relevant work experience.
Proficiency in C/C++ programming and strong fundamentals in object-oriented programming, data structures, and algorithms.
Familiarity with Linux, Python, and shell scripting.
Understanding of TCP/IP, Ethernet, and parallel programming models.
Reliable and predictable availability.
Ability to independently tackle challenging technical problems and contribute effectively as part of a team.
Prior experience in the HFT industry, hedge funds, or banks with a proven track record is a plus.

Responsibilities

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 minimize manual processes, 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.

Desired Qualifications

Prior experience in the HFT industry, hedge funds, or banks with a proven track record.

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:

A degree in Computer Science, Mathematics, or Engineering from a reputed institution.
0 - 3 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.
Catered breakfast and lunch.
Monthly team dinners.
Annual international and domestic team trips.

About the Company

NK Securities Research

Proprietary high-frequency trading and market making

NK Securities Research trades using its own capital with high-frequency, market-making strategies across equities, options, and futures. It uses an in-house quantitative research environment with Python and machine learning, paired with FPGA-based hardware for ultra-low-latency execution. It stands out through its fast, integrated tech stack, a recognized NSE track record, and ongoing global expansion with a Singapore subsidiary and a GIFT City branch. Its goal is to generate profits from rapid trades and tight spreads while growing its footprint in international markets.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Gurugram, India
Founded: 2011

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