Quantitative Developer Intern

New York, NYinternshipOn SiteentryH1B: yes

point72 Quantitative Developer Intern to work on scalable quantitative equity trading signals using machine learning and diverse data sources. Interns will receive training and contribute to signal research, data pipelines, and trading applications.

Responsibilities

Improving signal research and trading tools infrastructure
Optimizing data ETL pipelines, persistent / in-memory caches and SQL databases
Working alongside quant researchers developing quant signals
Developing automated equities trading application and real-time analytics
DESIRABLE CANDIDATES
Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline, or current enrollment in a related undergraduate or graduate program
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

Qualification

Knowledge of profiling (e

Required

Undergraduate or higher degree in computer science, machine learning, or other quantitative discipline, or current enrollment in a related program
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