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Open nowFirst seen 45 hours ago

Python Developer – Trading Systems

IO TECH SOLUTIONS LIMITED787 open roles

Where
Hong Kong, Hong Kong SAR, Hong Kong
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Your applicationOpen nowPython Developer – Trading SystemsIO TECH SOLUTIONS LIMITED · Hong Kong, Hong Kong SAR, Hong Kong

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on IO TECH SOLUTIONS LIMITED's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 45 hours ago

The posting

About the Role

We are seeking a highly skilled Python Developer with strong quantitative exposure and experience in rapid application development (RAD). This role is ideal for a Python expert who understands trading concepts and enjoys building high-performance tools and systems in a fast-paced trading environment.

You will work closely with traders and quantitative researchers to design, develop, and optimize trading tools, analytics platforms, and data-driven applications.

Key Responsibilities

  • Design, develop, and maintain high-performance Python applications for trading and research.
  • Collaborate with traders and quants to translate trading strategies into robust system implementations.
  • Build and enhance tools for data analysis, backtesting, and strategy monitoring.
  • Optimize system performance, latency, and reliability.
  • Develop APIs, automation scripts, and internal platforms to support trading operations.
  • Work on rapid prototyping and iterative development in a dynamic environment.
  • Ensure code quality through testing, documentation, and best development practices

Required Qualifications

  • Strong expertise in Python (must-have).
  • Solid understanding of data structures, algorithms, and object-oriented programming.
  • Experience with libraries such as NumPy, Pandas, SciPy, or similar.
  • Exposure to quantitative analysis, statistics, or financial modeling.
  • Understanding of trading concepts (equities, derivatives, crypto, or other asset classes).
  • Experience in rapid application development and agile environments.
  • Strong problem-solving mindset and ability to work closely with business users.



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