Python Software Engineer

 

At IMC, technology is not a department; it’s at the heart of everything we do. Developed in house, our innovative software makes millions of trading decisions daily, and we win by making better and faster decisions than our competition.

 

 

Our APAC Engineering teams work across a wide range of systems, including trading algorithm implementation, pricing, and the optimisation of our research processes and techniques. Engineers collaborate closely with Traders, Quant Researchers, and other engineering teams to build scalable, high-performance solutions that directly impact trading outcomes.

In Hong Kong, developers partner closely with Quant Research to design and enhance the tools and platforms that underpin our research environment. This includes building systems that enable large-scale computation on distributed clusters, supporting the exploration of new trading strategies, model training, and high-fidelity backtesting.

 

Your Core Responsibilities: 

 

• Design, build, and maintain high-performance Python applications that support quantitative research and trading
• Partner closely with Quant Researchers and Traders to translate research ideas into scalable, production-ready systems
• Develop and enhance research frameworks, simulation environments, and backtesting capabilities
• Optimise data pipelines and workflows to improve research velocity and model iteration speed
• Own systems end-to-end, from initial design through to deployment and continuous improvement
• Implement automation and tooling to increase efficiency and reliability across the research lifecycle
• Balance trade-offs across performance, scalability, and maintainability in a complex, high-performance environment

 

 

Your Skills and Experience:

 

 

• 5+ years of professional software engineering experience, with strong Python expertise
• Strong foundations in data structures, algorithms, and software design
• Experience building scalable systems, ideally in data-intensive or distributed environments
• Proven ability to work closely with stakeholders to solve complex, ambiguous problems
• A proactive mindset with a strong sense of ownership