Hong Kong / Quant Developer / Systematic Trading / Tier One Hedge Fund

BAH Partners; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

BAH Partners in Hong Kong is seeking a Quant Developer to join the systematic trading technology team. You will bridge quantitative research and software engineering to build the technology underpinning systematic trading strategies.

You will work across the research and trading lifecycle, developing infrastructure, libraries and productionising strategies for scalable trading and data systems.

Qualifications

• Strong programming skills in Python and/or C++.
• Experience in quantitative research, trading or investment technology.
• Experience working with large and complex financial datasets.
• Strong understanding of data structures, algorithms and software engineering principles.
• Exposure to systematic trading, execution, market data or portfolio construction is desirable.
• Ability to work directly with quantitative researchers, traders and portfolio managers.

Responsibilities

• Develop research infrastructure and quantitative libraries.
• Productionise strategies and build scalable trading and data systems.
• Collaborate with quantitative researchers, traders and portfolio managers.

Skills

Python

C++

Algorithms

Data Structures

Quantitative Finance

Education

CS/Math/Engineering degree

Job description

A leading global hedge fund is looking for a Quant Developer to join its systematic trading technology team in Hong Kong.

The role sits at the intersection of quantitative research and software engineering, working closely with portfolio managers, quantitative researchers and traders to build the technology underpinning systematic trading strategies.

You will work across the comprehensive research and trading lifecycle, from developing research infrastructure and quantitative libraries through to productionising strategies and building scalable trading and data systems.

Key Requirements

• Strong programming skills in Python and/or C++
• Strong computer science, mathematics, engineering or quantitative background
• Experience building quantitative research, trading or investment technology
• Strong understanding of data structures, algorithms and software engineering principles
• Experience working with large and complex financial datasets
• Exposure to systematic trading, execution, market data, portfolio construction or quantitative research is highly desirable
• Ability to work directly with quantitative researchers, traders and portfolio managers
• Strong candidates from technology or research-driven environments outside finance will also be considered

Why Consider This Opportunity

• Work directly alongside experienced quantitative researchers and investment professionals
• Build systems that have a direct impact on live trading and investment strategies
• Exposure across research, data, execution and production trading infrastructure
• Highly technical environment with significant engineering ownership
• Excellent compensation and strong long-term career potential