Senior KDB+/q Quant Developer: High-Throughput Tick Data

Peoplebank Hong Kong Limited

Hong Kong

On-site

HKD 1,700,000 - 2,100,000

Full time

3 days ago
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Job summary

Peoplebank Hong Kong Limited is seeking a Senior KDB+/q Quantitative Developer to drive the performance and evolution of a global eRisk analytics platform in Hong Kong. You will build scalable tick data solutions, deliver high-performance APIs, and optimize quant research capabilities in a rapid-deployment environment.

The role requires deep q programming expertise, KDB+ architecture, and strong collaboration with quants and electronic trading engineers to deploy production-ready solutions and

Qualifications

  • In-depth expertise in q programming and KDB+ architecture.
  • Strong analytical skills with massive market and trade datasets.
  • Hands-on experience with automated testing (TDD/BDD) is a plus.

Responsibilities

  • Develop components for global FX MI and analytics platform.
  • Architect scalable tick data access, feed handlers, and high-throughput analytics.
  • Implement API-based functionalities across tools and shared services.
  • Collaborate with quants and electronic trading engineers to translate business logic into production solutions.
  • Automate metrics, build pipelines, and testing workflows for daily releases.
  • Optimize query execution and reliability across large-scale distributed architectures.
  • Expand and maintain common software components and public APIs.
  • Support rapid production deployment cycles across hundreds of trading services.

Skills

q programming
KDB+ architecture
Data analysis
Communication
Automation pipelines

Tools

KDB+
APIs
Tick data platforms

Job description

Peoplebank Hong Kong Limited is seeking a Senior KDB+/q Quantitative Developer to drive the performance and evolution of a global eRisk analytics platform in Hong Kong. You will build scalable tick data solutions, deliver high-performance APIs, and optimize quant research capabilities in a rapid-deployment environment.

The role requires deep q programming expertise, KDB+ architecture, and strong collaboration with quants and electronic trading engineers to deploy production-ready solutions and

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