Quantitative Developer

Point72; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Point72 is seeking a senior quantitative developer for its Internal Alpha Capture (IAC) team in Hong Kong. You will help develop automated equities trading applications and real-time analytics, while optimizing data pipelines and databases.

You will collaborate with quant researchers, enhance trading tools infrastructure, and contribute production-grade code with a strong emphasis on accuracy, efficiency and ethical standards.

Qualifications

• Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline.
• 5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm.
• Proficiency in Python with production-quality coding.
• Experience with Docker and container/orchestration tools.
• Unix environment and shell scripting skills.
• Knowledge of profiling tools and code optimization.
• Knowledge of statistics and machine learning is a plus.
• Willing to take ownership and work independently in a small team.
• Finance industry experience is a plus.
• Strong ethical standards.

Responsibilities

• Developing automated equities trading applications and real-time analytics.
• Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases.
• Work alongside quant researchers developing quant signals.
• Improving signal research and trading tools infrastructure.

Skills

Python

Unix shell scripting

Profiling

Statistics

Machine learning

Ownership

Finance industry experience

Ethics

Education

Degree in CS/ML/quant

Tools

Docker

Job description

JOB RESPONSIBILITIES

A highly collaborative, fast-growing team, Point72 Internal Alpha Capture (IAC) is developing scalable quantitative equity trading signals that leverage rigorous research, state-of-the-art machine learning methods, a broad range of public and proprietary data sources, and unparalleled computing power.

You will gain exposure to a variety of activities, which may include:

• Developing automated equities trading applications and real-time analytics
• Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases
• Work alongside quant researchers developing quant signals.
• Improving signal research and trading tools infrastructure

DESIRABLE CANDIDATES

• Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline
• 5+ years of experience at a hedge fund, major investment bank, or quantitative trading firm
• Strong programming experience in Python with production-level coding quality
• Experience with containerization and orchestration technologies, particularly Docker
• Experience with Unix environment and shell scripting
• Knowledge of profiling (e.g. VisualVM, async-profiler) and code optimization is a plus
• Knowledge of statistics and machine learning is a plus
• Willing to take ownership of his/her work, working both independently and within a small team
• Prior experience in the financial services industry is a plus
• Commitment to the highest ethical standards