Kdb+/Q Engineer — Real-Time Trading Analytics Platform

Citadel Securities; Sydney; On-site; AUD 150,000 - 210,000; Full time

Job summary

Citadel Securities is seeking a Kdb+/Q Engineer to design and build high-performance data and analytics platforms for real-time and historical market data across global markets. You will work with traders, quantitative researchers, and engineers to deliver scalable, low-latency solutions.

The role focuses on Kdb+/Q at scale, collaborating with front-office stakeholders, and advancing the Global Trading Applications platform to support trading, data, and analytics workflows across the firm.

Qualifications

• Strong experience developing production applications using Kdb+/Q at scale.
• Experience building market data, analytics, electronic trading, or quantitative research platforms.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong Linux and distributed systems knowledge.
• Ability to collaborate effectively with technical and front-office stakeholders.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.

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

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Linux

Job description

Citadel Securities is seeking a Kdb+/Q Engineer to design and build high-performance data and analytics platforms for real-time and historical market data across global markets. You will work with traders, quantitative researchers, and engineers to deliver scalable, low-latency solutions.

The role focuses on Kdb+/Q at scale, collaborating with front-office stakeholders, and advancing the Global Trading Applications platform to support trading, data, and analytics workflows across the firm.