Quantitative Developer

Point72; Hong Kong; On-site; HKD 300,000 - 500,000; Full time

Job summary

Point72 is seeking a skilled candidate in Hong Kong to design and optimize the research and production pipeline for a medium frequency equity portfolio. Responsibilities include implementing data processing, model building, and troubleshooting production issues.

The ideal candidate must hold a Bachelor's degree in computer science and have over 3 years of programming experience, preferably in tech or quantitative trading. Passion for technology and advanced Python skills are essential.

Qualifications

• 3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team.
• Fast learner, strong passion for technology, and keen to explore the latest technological advancements.
• Experience in statistics and linear algebra is a plus.

Responsibilities

• Designing, implementing, and maintaining research and production pipeline.
• Performance optimization in both research and production environments.
• Troubleshooting and resolving production issues.

Skills

Advanced proficiency in Python

Strong quantitative skills

Software architecture

Distributed computing

Education

Bachelor’s degree or higher in computer science or other quantitative discipline

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

The candidate will be responsible for designing, implementing, and optimizing the research and production pipeline for a medium frequency equity portfolio—maintaining and improving production monitoring tools, and helping with production issues. An ideal candidate should have a passion for technology, take ownership of their work, and thrive in a dynamic and fast-paced work environment.

Responsibilities

• Designing, implementing, and maintaining research and production pipeline—including data processing, model building, back‑testing, and live monitoring toolkits.
• Performance optimization in both research and production environments.
• Troubleshooting and resolving production issues.

Requirements

• Bachelor’s degree or higher in computer science or other quantitative discipline.
• 3+ years of professional programming experience, preferably in a big tech firm or a quantitative trading team.
• Advanced proficiency in Python and its ecosystem.
• Fast learner, strong passion for technology, and keen to explore the latest technological advancements.
• Experience in software architecture and engineering is a plus.
• Experience in distributed computing is a plus.
• Strong quantitative skills and knowledge in statistics and linear algebra is a plus.
• Commitment to the highest ethical standards.