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

Citadel Securities; Hong Kong; On-site; HKD 900,000 - 1,400,000; Full time

Job summary

Citadel Securities in Hong Kong seeks a Kdb+/Q Engineer to design and build data and analytics platforms powering real-time trading and quantitative research across global markets. You will collaborate with traders, researchers, and engineers to deliver high-performance solutions for large-scale market data.

You will contribute to architecture and evolution of our Global Trading Applications platform, advancing time-series analytics, streaming data, and distributed computing with a focus on

Qualifications

• Strong 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++.

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

C++

Linux

Collaboration

Education

Bachelor's degree in Computer Science/Engineering/Math

Job description

Citadel Securities in Hong Kong seeks a Kdb+/Q Engineer to design and build data and analytics platforms powering real-time trading and quantitative research across global markets. You will collaborate with traders, researchers, and engineers to deliver high-performance solutions for large-scale market data.

You will contribute to architecture and evolution of our Global Trading Applications platform, advancing time-series analytics, streaming data, and distributed computing with a focus on