Senior Python Engineer - Commodities Trading - HK

Huxley; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Huxley in Hong Kong is seeking an experienced software engineer for a front-office commodities trading environment. You will build Python-based research and data platforms used directly by traders and researchers, and partner with business stakeholders to translate ideas into scalable production solutions.

You will leverage AI and LLMs to boost productivity, own software with high visibility, and collaborate across a global trading organization.

Qualifications

• 5-8+ years of software engineering experience.
• Strong Python development skills and production systems experience.
• Excellent problem-solving ability and a quantitative mindset.
• High levels of ownership, initiative, and commercial awareness.
• Comfortable working closely with business stakeholders in a fast-paced environment.
• Degree in Computer Science, Mathematics, Physics, Engineering, or a related field preferred.
• Mandarin and/or Cantonese language skills are advantageous but not essential.

Responsibilities

• Build and enhance Python-based research, analytics, and data platforms used directly by the trading desk.
• Partner with traders and researchers to turn ideas into scalable production solutions.
• Develop tools that improve data analysis, research workflows, and decision-making.
• Leverage AI and LLM technologies to increase productivity and research efficiency.
• Collaborate with teams across a global trading organization.

Skills

Python

Production systems

Problem solving

Ownership

Stakeholder communication

Quantitative mindset

Education

Bachelor's in Computer Science / Mathematics / Engineering

Job description

Join a high-performing commodities trading team where technology directly supports investment and trading decisions. Embedded within a leading commodities trading desk, you\'ll work closely with traders and researchers to build the data platforms, analytics tools, and AI-driven workflows that power research generation and market insights. This is a highly commercial, front-office role offering significant ownership, visibility, and direct interaction with the business.

What You\'ll Do

• Build and enhance Python-based research, analytics, and data platforms used directly by the trading desk.
• Partner with traders and researchers to turn ideas into scalable production solutions.
• Develop tools that improve data analysis, research workflows, and decision-making.
• Leverage AI and LLM technologies to increase productivity and research efficiency.
• Collaborate with teams across a global trading organization.

What We\'re Looking For

• 5-8+ years of software engineering experience.
• Strong Python development skills and experience building production systems.
• Excellent problem-solving ability and a quantitative mindset.
• High levels of ownership, initiative, and commercial awareness.
• Comfortable working closely with business stakeholders in a fast-paced environment.
• Degree in Computer Science, Mathematics, Physics, Engineering, or a related field preferred.
• Mandarin and/or Cantonese language skills are advantageous but not essential.
• Bank Strats
• Front Office Technology
• Trading Technology
• Engineers from hedge funds, market makers, and quantitative trading firms
• Software Engineers from leading technology companies such as Meta, Google, TikTok, Amazon, Microsoft, and ByteDance
• AI/ML Engineers with strong software engineering fundamentals

Why Join?

• Direct exposure to traders, researchers, and investment decision-making.
• Work on business-critical systems with immediate commercial impact.
• Significant opportunities to leverage AI and emerging technologies.
• High level of ownership and influence.
• Opportunity to join one of the\'s world's most sophisticated trading organizations.

Ideal for ambitious engineers who want to operate at the intersection of technology, data, AI, and global commodities markets while working alongside some of the industry's leading investment professionals.