Tech Stack

Description

You will work closely with full-time researchers to develop new quantitative trading models using rigorous research and innovative technologies. This collaborative environment provides comprehensive training and the opportunity to work on projects with real-world impact, with potential for a full-time offer after the internship.

Requirements

• PhD candidate in math, physics, statistics, EE, CS or other quantitative fields
• Strong knowledge of computational math, probability, and statistics
• Strong analytical skills with attention to detail
• Good communication skills
• Strong programming skills in Python or C/C++

Responsibilities

• Develop new quantitative trading models with real-world impact
• Work closely with full-time researchers on brand new strategies
• Receive rigorous and comprehensive training
• Contribute to research in medium-frequency statistical arbitrage
• Collaborate in a fast-paced start-up environment