Tech Stack

Description

You will work alongside Quant Researchers and Traders to implement novel trading strategies and software for research projects. You'll develop tools to apply advanced statistical methods, analyze backtesting simulations, and drive cross-team initiatives.

Requirements

• Degree in Applied Math, Physics, Engineering, Quantitative Finance, Computer Science or other quantitative discipline
• Up to 4 years of experience in a relevant role such as software or quant development
• Proficiency in at least one of Python, C++, or KDB+/q
• Experience working with git and Linux
• Strong interest in or knowledge of finance and global markets

Responsibilities

• Implement novel trading strategies and software for research projects
• Develop tools to apply advanced statistical methods to identify new trading opportunities
• Analyze backtesting simulations across vast amounts of proprietary data
• Drive cross-team initiatives at Squarepoint