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Senior KDB+/q Quantitative Developer | Banking, $150k+/month

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Onsite

Senior KDB+/q Quantitative Developer | Banking, $150k+/month

Peoplebank Hong Kong Limited

Senior KDB+/q Quantitative Developer | Banking, $150k+/month

Skills

Data AnalysisAI

1 month ago

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Important information


Contract type:

Freelance / Contract

Work mode:

Onsite

Published on:

15 September 2026

What they need


You will drive the performance and evolution of a global eRisk analytics platform capturing billions of daily pricing and trading records. Working directly with key quant and tech leaders in Hong Kong, you will build scalable tick data solutions, deliver high-performance APIs, and optimize quant research capabilities in a rapid-deployment environment.
Responsibilities

  • Development of key components for the global FX MI and analytics platform
  • Architecture of scalable tick data access, feed handlers, and high-throughput analytic frameworks
  • Implementation of performant API-based functionalities across common tools and shared services
  • Close collaboration with quants and electronic trading engineers to translate business logic into production solutions
  • Automation of metrics, build pipelines, and testing workflows for daily software releases
  • Optimization of query execution and system reliability across large-scale distributed architectures
  • Expansion and maintenance of common software components, developer tools, and public APIs
  • Support of rapid production deployment cycles across hundreds of concurrent trading services

Requirement

  • In-depth expertise in q programming, language structures, and performant KDB+ architecture
  • Deep familiarity with standard KDB tick architecture, data feeds, and tick database design
  • Strong analytical skills in handling, querying, and synthesizing massive market and trade datasets
  • Solid understanding of foundational statistical concepts and financial market data
  • Hands-on experience with Test-Driven (TDD) or Behavior-Driven Development (BDD) and automated testing
  • Proven ability to communicate effectively and adapt within dynamic, cross-functional teams
  • Practical experience in applying smart AI tools and automation within modern software pipelines
  • Practical knowledge in building, optimizing, and supporting high-throughput quantitative trading systems

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