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KDB+/Q Developer - Up to £200,000 + Bonus + Benefits

JR United Kingdom

Leeds

Hybrid

GBP 150,000 - 200,000

Full time

11 days ago

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Job summary

A leading hedge fund seeks a KDB+/Q Developer in Leeds, offering up to £200,000 plus bonus. You will directly influence high-performance systems that power trading strategies, collaborating closely with top talent in a performance-first culture. Ideal candidates possess solid experience in KDB+/Q and a relevant STEM degree.

Qualifications

  • 1+ year of experience in KDB+/Q development.
  • Experience in a live trading environment is preferred.

Responsibilities

  • Contribute to the development of a cutting-edge analytics platform.
  • Engineer high-performance systems to handle vast real-time data.

Skills

KDB+/Q
Real-time data systems
Electronic trading infrastructure

Education

STEM degree in Computer Science, Mathematics, Engineering, or similar

Job description

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KDB+/Q Developer - Up to £200,000 + Bonus + Benefits, Leeds, West Yorkshire

Client: Hunter Bond

Location: Leeds, West Yorkshire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

3

Posted:

04.06.2025

Expiry Date:

19.07.2025

Job Description:

KDB+/Q Developer

Location: Leeds (Hybrid)

Salary: Up to £200,000 + Bonus + Premium Benefits

Experience: 1+ Year

Client: World-Leading Hedge Fund

The Opportunity

Join one of the most elite hedge funds as a KDB+/Q Developer, contributing to the buildout of a cutting-edge research and analytics platform. Engineer high-performance systems handling vast real-time data, powering world-class trading strategies across global markets.

Work closely with Quant Researchers and Portfolio Managers to deliver scalable tools at the core of the firm’s competitive edge.

What Makes This Role Unique

  • Drive greenfield development with real business impact
  • Tackle complex problems using next-gen tools and architectures
  • Collaborate with top talent in a performance-first engineering culture
  • Work in a flat structure where your ideas influence key decisions

Requirements:

  • STEM degree in Computer Science, Mathematics, Engineering, or similar
  • Solid experience coding in KDB+/Q (ideally in a live trading environment)
  • Exposure to real-time data systems or electronic trading infrastructure
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