Lead Kdb+/Q Real-Time Analytics Engineer

Jefferies; New York (NY); On-site; USD 185,000 - 225,000; Full time

Job summary

Jefferies’ Equities Data & Analytics team seeks an experienced Kdb+/Q Engineer to design, build, and enhance real-time analytics platforms supporting electronic trading and market data workflows. You will develop low-latency data infrastructure, ingest ticker data, and collaborate with traders, quants, developers, QA, and production support to deliver scalable, secure data systems.

This hands-on role requires deep expertise in kdb+/Q, time-series data, and API services, with a strong ownership

Qualifications

• 7+ years of experience with large-scale real-time financial data.
• 7+ years of Kdb+/Q experience with real-time data systems.
• Strong Linux/Unix expertise.
• Experience with time-series databases and streaming.
• Excellent analytical and communication skills.

Responsibilities

• Design, build, and optimize low-latency kdb+/q analytics pipelines.
• Ingest and process real-time ticker data and orders.
• Develop scalable data services and APIs for trading apps.
• Collaborate with traders, quants, and engineers.
• Ensure data quality, monitoring, and secure access.

Skills

Kdb+/Q

Real-time data systems

Linux/Unix

Time-series data

Communication skills

Problem-solving

Team collaboration

Job description

Jefferies’ Equities Data & Analytics team seeks an experienced Kdb+/Q Engineer to design, build, and enhance real-time analytics platforms supporting electronic trading and market data workflows. You will develop low-latency data infrastructure, ingest ticker data, and collaborate with traders, quants, developers, QA, and production support to deliver scalable, secure data systems.

This hands-on role requires deep expertise in kdb+/Q, time-series data, and API services, with a strong ownership