KDB+ Q Engineer
Hunter Bond
Job Overview
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Job Description
KDB+/Q Engineer – Next-Generation Research & Analytics
A leading hedge fund is seeking a KDB+/Q Engineer to shape, design, and execute its next-generation research and analytics platform. This is a rare opportunity to combine technical mastery with strategic influence, working at the intersection of technology and global trading.
You’ll collaborate closely with Quant Researchers, Traders, and senior Portfolio Managers, ensuring the firm’s data infrastructure is robust, scalable, and aligned with long-term strategic goals.
Why This Role Stands Out
- Shape the Vision – Lead the technical strategy of a mission-critical data platform
- Mentor & Lead – Guide a high-performing team of KDB+/Q engineers
- Strategic Influence – Contribute to technology decisions that directly impact trading and P&L
- Solve Real-Time Challenges – Tackle complex, low-latency data problems
- High Ownership – Operate with minimal bureaucracy and maximum innovation
- Elite Engineering Culture – Work in a collaborative, world-class team built on excellence and speed
What We’re Looking For
- Deep expertise in KDB+/Q and high-performance data systems
- Proven experience with real-time market data or trading environments
- Strong collaboration skills with quants, traders, and cross-functional partners
- Experience architecting scalable, reliable, low-latency data platforms
Multiple KDB+/Q developer roles are also currently available in New York - reach out for more info!
📩 obloom@hunterbond.com
Key skills/competency
- KDB+/Q
- Quant Developer
- Software Engineer
- Hedge Fund
- Trading Systems
- Real-Time Data
- Low-Latency
- Data Platform
- Market Data
- System Architecture
How to Get Hired at Hunter Bond
- Tailor your resume: Highlight your KDB+/Q expertise and experience with trading environments.
- Showcase collaboration: Emphasize your ability to work with quants and traders.
- Demonstrate architectural skills: Detail your experience in designing scalable, low-latency data systems.
- Network effectively: Connect with current employees or recruiters on LinkedIn for insights.
- Prepare for technical interviews: Brush up on KDB+/Q, data structures, and algorithms.
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