- Location
- Hong Kong
- Department
- Quant Management
- Experience
- 5+ years
- Source
- Greenhouse
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
Skills
PythonDockerSQLMachine LearningETL