Low-Latency Quantitative Engineer

Eka Finance; Hong Kong; On-site; HKD 1,200,000 - 1,700,000; Full time

Job summary

Eka Finance in Hong Kong is seeking a skilled Quantitative Developer to join a high-performing systematic trading group. You will build scalable, low-latency infrastructure and collaborate with researchers and engineers to support live trading.

The role demands strong software engineering experience, practical knowledge of C++ and Python, and familiarity with data feeds, cloud platforms, and CI/CD. You will contribute to robust, resilient systems used in real-time markets.

Qualifications

• Master’s degree in Computer Science, Engineering, or related discipline.
• 5+ years of software engineering experience within financial markets.
• Strong programming in C++ and/or Python with SQL or KDB experience.
• Solid knowledge of algorithms, data structures, and software architecture.
• Experience with DevOps, CI/CD, and trading workflows.
• Exposure to cloud platforms and trade lifecycle troubleshooting.

Responsibilities

• Build and enhance low-latency trading infrastructure, including market data pipelines, execution systems, and order management platforms.
• Continuously refine existing systems to improve speed, efficiency, and scalability.
• Maintain system stability and resilience through comprehensive testing, monitoring, and incident response.
• Contribute to code quality through reviews and adherence to best engineering practices.
• Explore and adopt new technologies to improve development workflows and system performance.

Skills

C++

Python

SQL

KDB

Algorithms

DevOps

Education

Master’s degree in Computer Science or Engineering

Tools

KDB+

SQL

Job description

Eka Finance in Hong Kong is seeking a skilled Quantitative Developer to join a high-performing systematic trading group. You will build scalable, low-latency infrastructure and collaborate with researchers and engineers to support live trading.

The role demands strong software engineering experience, practical knowledge of C++ and Python, and familiarity with data feeds, cloud platforms, and CI/CD. You will contribute to robust, resilient systems used in real-time markets.