Software Developer

NK Securities Research; Singapore; On-site; SGD 60,000 - 120,000; Full time

Benefits offered by this job

Competitive salary package

Dynamic, high-performance environment

Career growth and development

Job summary

NK Securities Research is a leading financial firm leveraging cutting-edge technology and sophisticated algorithms to trade the markets. We design high-frequency automated trading systems with emphasis on reliability and scalability, and continuously optimize latency and performance.

The role requires a degree in CS/Math/Engineering and 0-4 years of experience, with strong C/C++ skills, Linux, Python, and shell scripting.

Qualifications

• Bachelor's degree in Computer Science, Mathematics, or Engineering from a reputed institution.
• 0-4 years of relevant work experience.
• Proficiency in C/C++ programming with strong fundamentals in OOP, data structures and algorithms.
• Familiarity with Linux, Python and shell scripting.

Responsibilities

• Design, implement, and maintain high-frequency automated trading systems with 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 strong testing and QA culture.
• Integrate ad-hoc use-cases into the codebase to improve reusability and scalability across exchanges.
• Lead the core engineering team in driving innovation and maintaining high engineering standards.
• Be proactive in asking questions, admitting mistakes, and engaging in constructive discussions.

Skills

C/C++

Object-oriented programming

Data structures

Algorithms

Linux

Python

Shell scripting

TCP/IP

Parallel programming

Problem solving

Communication skills

Team collaboration

Education

Bachelor's degree in CS/Math/Engineering

Job description

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:

• 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:

• A degree in Computer Science, Mathematics, or Engineering from a reputed institution.
• 0-4 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.