Tech Stack

Description

You will work closely with our team to develop novel quantitative equity trading signals, enhance research platforms, optimize data pipelines, and improve trading tools. Gain hands-on experience in a fast-paced environment with real impact.

Requirements

• Undergraduate or higher in Computer Science, ML, or quantitative discipline
• Strong Python programming with production-level coding quality
• Experience with Unix environment and shell scripting
• Experience with cloud computing (AWS, Databricks)
• Experience with numerical Python libraries (Numpy, Pandas, PyTorch)

Responsibilities

• Enhancing quantitative research platforms by benchmarking and integrating cloud technologies
• Optimizing data ETL pipelines, caches, and SQL databases
• Improving research and trading tools and infrastructure