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

Citadel Securities; New York (NY); On-site; USD 180,000 - 300,000; Full time

Job summary

Citadel Securities in New York is seeking a Kdb+/Q Engineer for the Global Trading Applications team. You will design and build data and analytics platforms powering trading and quantitative research across global markets, working closely with traders and researchers to deliver high-performance solutions for real-time and historical market data.

You will partner with traders, quantitative researchers, and engineers to create scalable time-series analytics platforms and contribute to

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++.
• Strong Linux and distributed systems knowledge.

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++

Java

Linux

Distributed systems

Education

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

Tools

Kdb+/Q tooling

Job description

Citadel Securities in New York is seeking a Kdb+/Q Engineer for the Global Trading Applications team. You will design and build data and analytics platforms powering trading and quantitative research across global markets, working closely with traders and researchers to deliver high-performance solutions for real-time and historical market data.

You will partner with traders, quantitative researchers, and engineers to create scalable time-series analytics platforms and contribute to