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Quantitative Developer (Product)

Gravitas Recruitment Group Hong Kong
Posted 1 day ago Permanent Competitive

Quantitative Developer (Product)

Gravitas Recruitment Group Hong Kong
Job Title : Quantitative Product Development Engineer

Company Overview
We are a leading quantitative trading firm leveraging advanced technology to deploy algorithmic trading strategies across global markets. We are seeking a highly skilled engineer to bridge the gap between quantitative research and high-performance execution.

Position Overview
In this role, you will take full ownership of the reliability, performance, and scaling of our live multi-asset trading environment. You will work closely with quantitative researchers to productionize strategies and optimize our low-latency infrastructure across software and hardware layers. 

What You Will Do  
  • Launch Trading Systems: Help researchers turn trading ideas into live, fast-running software.
  • Keep Systems Safe: Make sure our stock and futures trading platforms run without crashing.
  • Fix Live Problems: Monitor the live markets and fix technical bugs immediately during trading hours.
  • Make Systems Faster: Fine-tune software and computer hardware to make trading as fast as possible.
  • Build Great Tools: Create smart tools and automated workflows to help our engineering team work better.

What You Need  
  • Code Skills: Expert in C++ with a scripting language, OR expert in Python with Go, Rust, or Java.
  • Languages: Able to speak and write fluently in both English and Chinese.
  • Experience: 2+ years of software work and a college degree in a tech field (like Computer Science).
  • Linux Tech: Strong comfort working inside Linux operating systems.
  • Team Habits: Experience using Git, doing code reviews, and using automated testing tools.
  • Interest: A true excitement for the finance and trading industry.

Bonus Points  
  • You have worked on real-time financial trading systems before.
  • You know how to build large, complex tech systems that never go down.
Job ID  172760
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