Kdb+/Q Engineer - Real-Time Market Data & Analytics

Citadel Securities; Singapore; On-site; SGD 140,000 - 220,000; Full time

Job summary

Citadel Securities in Singapore is seeking a Kdb+/Q Engineer to design and build data and analytics platforms powering trading and quantitative research across global markets. You will work closely with traders, researchers, and engineers to create high-performance solutions for real-time and historical market data at significant scale.

Responsibilities include delivering scalable Kdb+/Q platforms, collaborating with front-office stakeholders, and advancing architecture for our Global Trading

Qualifications

• Experience developing production applications using Kdb+/Q at scale.
• Experience building market data, analytics, electronic trading, or quantitative research platforms.
• Proficiency in one or more programming languages such as Python, Java, or C++.
• Strong Linux and distributed systems knowledge.
• Ability to collaborate effectively with technical and front-office stakeholders.

Responsibilities

• Design and build high-performance Kdb+/Q platforms that support real-time research, streaming analytics, and trading workflows across global markets
• Partner directly with traders, quantitative researchers, and engineers to deliver technology that drives business outcomes
• Develop scalable solutions for large-scale market data, time-series analytics, and distributed computing challenges
• Contribute to the architecture and evolution of our Global Trading Applications platform, which supports trading, data, and analytics workflows across the firm
• Drive engineering excellence through thoughtful design, automation, and operational best practices

Skills

Kdb+/Q

Python

Java

C++

Linux

Distributed systems

Front-office collaboration

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field

Job description

Citadel Securities in Singapore is seeking a Kdb+/Q Engineer to design and build data and analytics platforms powering trading and quantitative research across global markets. You will work closely with traders, researchers, and engineers to create high-performance solutions for real-time and historical market data at significant scale.

Responsibilities include delivering scalable Kdb+/Q platforms, collaborating with front-office stakeholders, and advancing architecture for our Global Trading