Quant Developer, Systematic Trading (HK/SG)

BAH Partners; Hong Kong; On-site; HKD 700,000 - 1,100,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation support

Job summary

BAH Partners is hiring Quant Developers for its systematic trading business in Hong Kong and Singapore. You will design alpha algorithms, translate research ideas into live trading outcomes, and collaborate with investment and research teams across multiple asset classes.

The role blends quantitative finance with software engineering, delivering production-ready trading solutions and measurable trading outcomes in a fast-moving environment.

Qualifications

• Experience as a Quant Developer, Quantitative Researcher, or Quantitative Analyst.
• Strong Python, MATLAB, or similar quantitative programming expertise.
• Experience with SQL databases and large, complex datasets.
• Solid understanding of quantitative finance, systematic investing, or portfolio management.
• Excellent analytical and problem-solving skills.
• Strong academic background in mathematics, statistics, computer science, engineering, or another quantitative discipline.
• Clear communication skills and the ability to perform accurately in a fast-moving environment.

Responsibilities

• Design and develop alpha algorithms and portfolio construction processes.
• Turn quantitative research into robust, production-ready trading solutions.
• Analyse complex datasets and validate investment models.
• Improve a large, sophisticated quantitative research and trading platform.
• Collaborate with researchers and investment teams across strategies and asset classes.

Skills

Python

MATLAB

Quant programming

Analytical thinking

Education

Bachelor's degree in mathematics/statistics/computer science/engineering

Tools

SQL databases

Job description

BAH Partners is hiring Quant Developers for its systematic trading business in Hong Kong and Singapore. You will design alpha algorithms, translate research ideas into live trading outcomes, and collaborate with investment and research teams across multiple asset classes.

The role blends quantitative finance with software engineering, delivering production-ready trading solutions and measurable trading outcomes in a fast-moving environment.