Cubist Quantitative Developer

Point72; Hong Kong; On-site; HKD 500,000 - 750,000; Full time

Job summary

Dormont Manufacturing Co in Hong Kong is looking for a candidate to design, implement, and optimize the research and production pipeline for a medium frequency equity portfolio. Candidates should have a strong passion for technology, take ownership of their work, and thrive in a dynamic environment.

The ideal candidate must possess a Bachelor’s degree in computer science or a related field and have at least 3 years of experience in programming, preferably within a big tech or quantitative trading setting.

Qualifications

• 3+ years of programming experience in tech or quantitative trading.
• Advanced knowledge of Python and its ecosystem.
• Understanding of statistics and linear algebra.

Responsibilities

• Design, implement, and maintain the research and production pipeline.
• Optimize performance in research and production environments.
• Troubleshoot and resolve production issues.

Skills

Python proficiency

Software architecture

Distributed computing

Quantitative skills

Data processing

Education

Bachelor’s degree in computer science or related field

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.