NK Securities Research Tech Stack

Algorithmic and high-frequency trading firm with ML-driven market models

Financial Services Gurgaon, Haryana 51–200 employees Founded 2011 Privately Held

NK Securities Research operates a low-latency automated trading platform built on C/C++, Linux, and Python, with PyTorch and TensorFlow for ML model development. The repeated appearance of latency and performance optimization in their pain-point list—combined with active hiring across engineering, data, and research—suggests they are scaling infrastructure to handle higher throughput while refining order-book and pricing models. Their project roster spans from live system deployment to pre-internship bootcamps, indicating both a mature production system and early-stage talent pipeline investment.

Tech Stack 22 technologies

Core StackLinux Python C++ Lattice PyTorch TensorFlow JavaScript React C/C++ C Microsoft Office Google Workspace Bash Google Sheets Excel Zoho People HTML CSS transformers

What NK Securities Research Is Building

◆Challenges

Trading system latency
Reducing back-and-forth regulatory queries
Minimizing downtime
Optimizing performance
Reducing trading latency
Improving system reliability
Low-latency infrastructure
System performance
Gaps in employee documentation
Streamline workflows

▲Active Projects

High-frequency automated trading systems
Risk management and performance tracking tools
Trading monitoring software
Automate hr dashboards
Pricing and fair-value models
Order-book dynamics models
Deploy models into live systems
Pre-internship bootcamps
Immersion days
Research challenges

Hiring Activity

Steady20 roles · 6 in 30d

Department

Engineering

Ops

Data

Finance

Research

Legal

Sales

Seniority

Junior

Senior

Mid

Manager

Company intelligence

Find more companies like NK Securities Research by tech stack, pain points and active projects

Get started free

About NK Securities Research

NK Securities Research is a financial technology and trading firm founded in 2011, headquartered in Gurgaon, India. The company develops algorithmic and high-frequency trading systems across multiple asset classes, underpinned by ML-driven pricing models and order-book dynamics analysis. Operations span trading execution, risk management and performance tracking, market surveillance, and internal workflow automation. The organization is primarily India-based and currently hiring across engineering, data science, research, operations, and finance functions.

HeadquartersGurgaon, Haryana

Company Size51–200 employees

Founded2011

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does NK Securities Research use?

Primary stack: C/C++, Linux, Python. ML frameworks: PyTorch, TensorFlow, transformers. Frontend: React, JavaScript, HTML, CSS. Also uses Google Workspace, Microsoft Office, and Zoho People for HR operations.

What is NK Securities Research working on?

Core projects: high-frequency automated trading systems, order-book dynamics models, risk management and performance tracking tools, pricing and fair-value models. Supporting initiatives: live model deployment, trading monitoring software, and talent development through bootcamps and immersion programs.