Kdb+/Q Engineer

Role Overview

Join our Global Trading Applications team as a Kdb+/Q Engineer, where you will architect and develop data analytics platforms crucial to trading and quantitative research across worldwide markets. Collaborate intimately with traders, quantitative researchers, and software engineers to create high-efficiency solutions handling both real-time and historic market data on a massive scale. This position involves managing a substantial Kdb+/Q environment essential to trading, research, and analytics workflows.

Responsibilities

• Create and enhance high-performance Kdb+/Q systems supporting real-time research, streaming analytics, and global trading operations.
• Work closely with traders, quantitative researchers, and engineers to supply technology solutions aligned with business objectives.
• Design scalable approaches to large-scale market data, time-series analytics, and distributed computing problems.
• Influence the architecture and ongoing development of the Global Trading Applications platform servicing trading, data, and analytics workflows across the company.
• Promote engineering excellence through deliberate system design, automation, and best operational practices.

Qualifications

• Extensive experience delivering production-grade applications utilizing Kdb+/Q at scale.
• Background in assembling market data, analytics, electronic trading, or quantitative research systems.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong knowledge of Linux operating systems and distributed systems.
• Capability to collaborate effectively with both technical teams and front-office stakeholders.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.

Additional Information

Positions may arise intermittently across our business locations globally, and interested applicants are encouraged to submit their profiles for future opportunities.

About Citadel Securities

Citadel Securities is a technology-driven global market maker providing institutional and retail clients with unmatched liquidity, competitive pricing, and seamless execution across a diverse set of financial products. Our teams leverage cutting-edge quantitative research, compute acceleration, machine learning, and artificial intelligence to deliver industry-leading analytics and address critical market and client challenges.