Quant Developer (Systematic Trading - Elite Buyside Firm)

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

Job summary

BAH Partners in Hong Kong is hiring a Quant Developer for its APAC-focused systematic trading desk. You’ll build research and trading tech, collaborating with PMs and researchers to translate ideas into production.

This role offers broad ownership, direct exposure to investment teams, and the chance to impact day one. Strong Python, quantitative modeling, and system design skills are essential, plus a proactive, self-driven mindset.

Qualifications

• 3+ years of quantitative development or systematic trading tech experience.
• Strong Python development, debugging, and performance optimisation skills.
• Solid financial markets knowledge and understanding of quantitative research workflows.

Responsibilities

• Build Python frameworks and tools supporting quantitative research and systematic trading.
• Partner directly with portfolio managers and researchers to turn ideas into production solutions.
• Develop capabilities across multiple strategies, markets, and asset classes.
• Work with technology, infrastructure, DevOps, and data teams to deliver reliable systems.
• Optimise performance and solve business-critical trading issues.
• Take ownership across development, testing, deployment, monitoring, and production support.

Skills

Python

Quant dev

Performance tuning

System design

Algorithms

Communication

Tools

Cloud platforms

Databases

Containers

Job description

Quant Developer | Systematic Trading | Hong Kong

I’m working with a fast-growing global hedge fund that’s hiring a Quant Developer for its Hong Kong office. Joining a small, high-impact team, you’ll build the research and trading technology supporting the firm’s systematic expansion across APAC.

This is a genuine build-out role offering broad ownership, direct investment-team exposure, and the opportunity to make a visible impact from day one.

Why Join?

• Join a major APAC expansion and help shape it from the ground up.
• Build new systematic research and trading capabilities from scratch, rather than maintaining legacy systems.
• Work directly with Portfolio Managers and Quant Researchers, close to investment decision-making.
• Gain broad exposure across multiple strategies and asset classes.
• Take meaningful technical ownership and autonomy within a lean, entrepreneurial team.
• Join a high-performance global firm with strong leadership backing and significant investment in its APAC technology build-out.

What You’ll Be Doing

• Build Python frameworks and tools supporting quantitative research and systematic trading.
• Partner directly with portfolio managers and researchers to turn ideas into production solutions.
• Develop capabilities across multiple strategies, markets, and asset classes.
• Work with technology, infrastructure, DevOps, and data teams to deliver reliable systems.
• Optimise performance and solve business-critical trading issues.
• Take ownership across development, testing, deployment, monitoring, and production support.

What We’re Looking For

• At least three years of quantitative development or systematic trading technology experience.
• Strong Python development, debugging, and performance optimisation skills.
• Solid financial markets knowledge and an understanding of quantitative research and trading workflows.
• Experience within a systematic hedge fund, quantitative investment team, or systematic pod is strongly preferred.
• Strong foundations in system design, data structures, algorithms, and object-oriented programming.
• A curious, self-driven mindset and willingness to solve a wide variety of problems.
• Clear communication skills and the confidence to work directly with investment professionals.
• Availability to join within six to nine months.

Nice to Have

• Experience with distributed computing, cloud platforms, databases, or containers.
• Exposure to data analytics or machine learning.
• Knowledge of networking, hardware, systems performance, or latency optimisation.
• Experience evaluating emerging technologies and open-source frameworks.