Quant developer

Expedition Funds; Hong Kong; On-site; HKD 1,200,000 - 1,800,000; Full time

Job summary

Expedition Funds is seeking a Quantitative Developer to build and optimize high-performance research and trading infrastructure across global markets. You will translate research ideas into production-ready systems and collaborate closely with quantitative researchers and traders.

You will own end-to-end engineering projects, focusing on performance, scalability, and reliability while driving efficient research workflows. Strong coding and math skills are essential for success.

Qualifications

• Bachelor's, Master's, or PhD in CS/Math/Engineering from a top-tier university.
• Exceptional programming ability in C++ and Python with strong algorithms skills.
• Strong understanding of Linux, concurrency, networking, memory management, and performance.
• Experience designing large-scale, production-grade systems independently.
• Experience with quantitative research, financial data, backtesting or trading systems preferred.
• Proven track record of outstanding engineering or research achievements.

Responsibilities

• Build high-performance research and trading infrastructure for systematic strategies.
• Develop and optimize large-scale data processing, backtesting, simulation, and research systems.
• Translate research ideas into robust, production-ready software in collaboration with researchers and traders.
• Improve system performance, scalability, reliability, and research efficiency.
• Take end-to-end ownership of complex engineering projects from architecture to deployment.

Skills

C++

Python

Algorithms

Data structures

System design

Mathematics

Problem solving

Backtesting

Trading systems

Performance optimization

Education

Bachelor's/Master's/PhD in Computer Science or Mathematics

Tools

Linux

GPU computing

Distributed computing

Machine learning infrastructure

Job description

Build high-performance research and trading infrastructure supporting systematic strategies across global markets.

Develop and optimize large-scale data processing, backtesting, simulation, and strategy research systems.

Work closely with Quantitative Researchers and Traders to translate research ideas into robust, production-ready systems.

Improve system performance, scalability, reliability, and research efficiency.

Take end-to-end ownership of complex engineering projects, from architecture design to deployment.

Requirements

Bachelor's, Master's, or PhD degree in Computer Science, Mathematics, Engineering, or other highly quantitative disciplines from a top-tier university.

Exceptional programming ability in C++ and Python, with strong knowledge of algorithms, data structures, and system design.

Strong understanding of Linux, concurrency, networking, memory management, and performance optimization.

Demonstrated ability to design and build complex, large-scale systems independently.

Strong mathematical and analytical ability, with excellent problem-solving skills.

Experience with quantitative research, financial data, backtesting, or trading systems is highly preferred.

Proven track record of outstanding engineering or research achievements, such as top-tier technical projects, competitive programming, open-source contributions, or experience at leading technology / quantitative firms.

Preferred Qualifications

Strong competitive programming background, such as ICPC / IOI / Codeforces.

Experience optimizing latency-sensitive or high-throughput systems.

Experience with GPU computing, distributed computing, or large-scale machine learning infrastructure.

Demonstrated ability to solve highly complex technical problems with minimal guidance.

Your application will include the following questions:

• Which of the following statements best describes your right to work in Hong Kong?
• How many years' experience do you have as a Quantitative Developer?
• What is your highest level of education?