Quantitative Developer

Point72 Asset Management; Hong Kong; Sur place; HKD 900 000 - 1 300 000; Plein temps

Résumé du poste

Point72 Internal Alpha Capture (IAC) is building scalable quantitative equity trading signals using rigorous research, state-of-the-art machine learning methods, and a breadth of data sources.

You will gain exposure to developing automated equities trading applications and real-time analytics, optimizing data pipelines, and improving research tools infrastructure.

Strong Python production-quality coding, Docker experience, Unix shell scripting, and a quantitative mindset are essential.

Qualifications

• 5+ years of experience in hedge funds or quantitative trading.
• Strong Python production-grade coding skills.
• Experience with Docker or containerization is a plus.
• Willing to take ownership and work in a small team.

Responsabilités

• Develop automated equities trading applications and real-time analytics.
• Optimize data ETL pipelines, persistent / in-memory caches and SQL databases.
• Improve signal research and trading tools infrastructure.
• Collaborate with a small, fast-moving team to deliver impactful results.

Connaissances

Python

Shell scripting

Statistics

Machine learning

Ownership

Independent work

Formation

Bachelor's or higher in CS/ML/quantitative

Outils

Docker

VisualVM

async-profiler

Unix

Description du poste

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
• Improving signal research and trading tools infrastructure
• 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