Real-Time Kdb+/Q Analytics Engineer

Jefferies; New York (NY); On-site; USD 180,000 - 260,000; 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.

The role focuses on developing and maintaining low-latency data infrastructure, processing ticker data alongside large-scale historical datasets, and delivering high-performance analytics solutions used by trading, quants, and risk teams.

Qualifications

• 7+ years of experience with large-scale financial datasets.
• 7+ years of hands-on Kdb+/Q experience, including real-time data systems.
• Strong experience in Linux/Unix environments.
• Understanding of time-series databases and architectures.
• Real-time data streaming and processing.
• Analytical, problem-solving, and communication skills.
• Ability to work in a fast-paced, collaborative environment.

Responsibilities

• Design and develop low-latency kdb+/q systems for real-time market data.
• Build streaming analytics pipelines for intraday monitoring.
• Develop time-series data models and query frameworks.

Skills

Kdb+/Q

Low-latency

Real-time analytics

Linux/Unix

Time-series data

Data streaming

API development

Security & authentication

Data quality monitoring

Communication skills

Tools

tickerplant

RDB/HDB

Python

Java

AWS

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.

The role focuses on developing and maintaining low-latency data infrastructure, processing ticker data alongside large-scale historical datasets, and delivering high-performance analytics solutions used by trading, quants, and risk teams.