about 1 month ago
New York, NY, USAIntern
Responsibilities
- Enhance quantitative research platforms by integrating in-house and cloud technologies.
- Optimize data ETL pipelines, persistent/in-memory caches, and SQL databases.
- Improve research and trading tools and infrastructure.
Requirements
- Undergraduate or higher degree in Computer Science, Machine Learning, or a quantitative discipline.
- Strong programming experience in Python with production-level coding quality.
- Experience with Unix environment and shell scripting.
- Experience with cloud computing, ideally AWS and Databricks.
- Familiarity with numerical Python libraries such as Numpy, Pandas, and PyTorch.
- Knowledge of version control (Git) and software CI/CD tools.
- Knowledge of profiling and code optimization is a plus.
- Knowledge of statistics and machine learning is a plus.
- Willingness to take ownership of work and collaborate within a small team.
- Commitment to the highest ethical standards.