23 hours ago
Hong Kong, Hong KongSenior
Responsibilities
- Develop automated equities trading applications and real-time analytics.
- Optimize data ETL pipelines, persistent and in-memory caches, and SQL databases.
- Work alongside quantitative researchers developing quantitative trading signals.
- Improve infrastructure for signal research and trading tools.
Requirements
- Undergraduate or higher degree in computer science, machine learning, or another quantitative discipline.
- At least 5 years of experience at a hedge fund, major investment bank, or quantitative trading firm.
- Strong Python programming experience with production-level coding quality.
- Experience with containerization and orchestration technologies, particularly Docker.
- Experience with Unix environments and shell scripting.
- Willingness to take ownership and work independently and within a small team.
- Prior financial services experience is a plus.
- Knowledge of profiling tools such as VisualVM or async-profiler and code optimization is a plus.
- Knowledge of statistics and machine learning is a plus.
- Commitment to the highest ethical standards.
About Point72
Point72 is a global alternative investment firm that deploys fundamental and systematic strategies across equities and other asset classes for institutional and qualified investors. The firm earns management and performance fees and also invests partner capital. Founded in 2014 by Steven A. Cohen and headquartered in Stamford, Connecticut, it operates a multi-manager platform with offices worldwide and a large in-house technology organization supporting research, trading, data, and risk.