Research Technology Support

Point72; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

Cubist Systematic Strategies, an affiliate of Point72, is seeking a support engineer/quantitative developer to join its growing L2/L3 support team for quantitative trading systems, high-frequency trading infrastructure, real time analytics, and research infrastructure.

You will collaborate with multiple PM teams, Central Research Technology, and Execution Services to drive system development and reliability.

Qualifications

• 2+ years of professional support and/or software engineering experience.
• Experience with trading systems support (co-located low-latency systems a strong plus).
• Fluency with C++, Python and SQL.
• Familiarity with software delivery lifecycle and production deployment.
• Cloud experience is a strong plus.
• Team player and strong communicator.

Responsibilities

• Troubleshooting/resolution of quantitative trading systems and other live analytics processes.
• System monitoring, including development of better processes and tools.
• New feature development in Python/C++.
• Configuration and change management.
• Onboarding assistance.

Skills

C++

Python

SQL

Communication

Team player

Software engineering

Job description

About Cubist:

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role:

Cubist is looking for a support engineer/quantitative developer who will work on a growing L2/L3 support team for quantitative trading systems, high‑frequency trading infrastructure,real time analytics, and research infrastructure. This role will require close collaboration with multiple teams at Cubist, including multiple Portfolio Manager (PM) teams, Central Research Technology, and Execution Services. The role offers career growth through the opportunity to work on the development of the underlying systems.

Role/Responsibilities:

• Troubleshooting/resolution of quantitative trading systems and other live analytics processes
• System monitoring, including development of better processes and tools
• New feature development in Python/C++
• Configuration and change management
• Onboarding assistance

Requirements:

• 2+ years of professional support and/or software engineering experience
• Experience with trading systems support (co-located low-latency systems a strong plus)
• Fluency with C++, Python and SQL
• Familiarity with software delivery lifecycle and production deployment
• Cloud experience is a strong plus
• Team player and strong communicator