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Quantitative Developer (APAC)
Role Overview
A premier global investment firm is looking for an energetic and skilled Software Engineer to join its expanding team in Hong Kong. In this role, you will partner directly with multi-asset investment teams across the APAC region to design, build, and scale engineering frameworks that power our core research and trading operations. This is a high-impact position where your code directly influences live trading systems and business growth. We are looking for a self-starting developer who thrives on solving complex problems alongside portfolio managers and quantitative researchers.
Core Responsibilities
Required Qualifications
Bonus Skills
Role Overview
A premier global investment firm is looking for an energetic and skilled Software Engineer to join its expanding team in Hong Kong. In this role, you will partner directly with multi-asset investment teams across the APAC region to design, build, and scale engineering frameworks that power our core research and trading operations. This is a high-impact position where your code directly influences live trading systems and business growth. We are looking for a self-starting developer who thrives on solving complex problems alongside portfolio managers and quantitative researchers.
Core Responsibilities
- Framework Development: Translate trading and research requirements into scalable, high-performance engines that support sophisticated data analysis across various asset classes.
- Cross-functional Collaboration: Partner closely with internal quant researchers and portfolio managers to rapidly engineer bespoke software solutions.
- Production Support: Provide real-time operational troubleshooting to resolve time-sensitive, critical trading environment issues.
- Systems Integration: Work hand-in-hand with infrastructure, DevOps, data, and core technology teams to deploy, monitor, test, and validate software releases.
Required Qualifications
- Core Engineering Fundamentals: Deep understanding of object-oriented programming (OOP), system architecture, algorithms, and data structures.
- Industry Experience: 3+ years of professional software engineering experience explicitly focused on building systems for quantitative trading desks or financial environments.
- Education: A Bachelor’s degree (or equivalent) in Computer Science, Computer Engineering, or a highly quantitative field.
- Modern Tech Stack: Practical exposure to cloud ecosystems, distributed systems, data analytics pipelines, or machine learning applications.
- Work Environment: Ability to thrive in a fast-moving, delivery-focused, and highly entrepreneurial business environment.
- Problem-Solving Skills: Exceptional analytical mindset with a strong passion for continuous learning and knowledge sharing.
- Communication & Delivery: Strong English communication skills with a proven track record of managing tasks efficiently in a collaborative team setting.
Bonus Skills
- Advanced proficiency in Python, including deep knowledge of debugging, profiling, and performance tuning.
- Hands-on experience with containerization, database management, networking protocols, hardware acceleration, or low-latency optimization.
- A keen interest in experimenting with open-source frameworks and emerging technologies.
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